2024 Biostatistics Publications

Kiros Teghegne Berhane

Campbell, C. E., Cotter, D. L., Bottenhorn, K. L., Burnor, E., Ahmadi, H., Gauderman, W. J., Cardenas-Iniguez, C., Hackman, D., McConnell, R., Berhane, K., Schwartz, J., Chen, J. C., & Herting, M. M. (2024). Air pollution and age-dependent changes in emotional behavior across early adolescence in the U.S. Environmental research, 240(Pt 1), 117390. https://doi.org/10.1016/j.envres.2023.117390

Wright, C. Y., Kapwata, T., Naidoo, N., Asante, K. P., Arku, R. E., Cissé, G., Simane, B., Atuyambe, L., & Berhane, K. (2024). Climate Change and Human Health in Africa in Relation to Opportunities to Strengthen Mitigating Potential and Adaptive Capacity: Strategies to Inform an African "Brains Trust". Annals of global health, 90(1), 7. https://doi.org/10.5334/aogh.4260

Harnisch, M., Barnett, M. L., Coussens, S., Thomas, K. S., Olfson, M., Berhane, K., & Sacarny, A. (2024). Physician Antipsychotic Overprescribing Letters and Cognitive, Behavioral, and Physical Health Outcomes Among People With Dementia: A Secondary Analysis of a Randomized Clinical Trial. JAMA network open, 7(4), e247604. https://doi.org/10.1001/jamanetworkopen.2024.7604

Oguge, O., Nyamondo, J., Adera, N., Okolla, L., Okoth, B., Anyango, S., Afulo, A., Kumie, A., Samet, J., & Berhane, K. (2024). Fine particulate matter air pollution and health implications for Nairobi, Kenya. Environmental epidemiology (Philadelphia, Pa.), 8(3), e307. https://doi.org/10.1097/EE9.0000000000000307

Cotter, D.L., Ahmadi, H., Cardenas-Iniguez, C., Bottenhorn, K.L., Gauderman, W.J., McConnell, R., Berhane, K., Schwartz, J., Hackman, D.A., Chen, J-C., Herting, M.M. (2024). Exposure to multiple ambient air pollutants changes white matter microstructure during early adolescence with sex-specific differences Check for updates. Communications Medicine, 2024. 4:155

Atuyambe, L. M., Etajak, S., Walyawula, F., Kasasa, S., Nyabigambo, A., Bazeyo, W., Wipfli, H., Samet, J. M., & Berhane, K. T. (2024). Air quality and attributable mortality among city dwellers in Kampala, Uganda: results from 4 years of continuous PM_2.5 concentration monitoring using BAM 1022 reference instrument. Journal of exposure science & environmental epidemiology, 10.1038/s41370-024-00684-9. Advance online publication. https://doi.org/10.1038/s41370-024-00684-9

Atuyambe, L. M., Arku, R. E., Naidoo, N., Kapwata, T., Asante, K. P., Cissé, G., Simane, B., Wright, C. Y., & Berhane, K. (2024). The health impacts of air pollution in the context of changing climate in Africa: A narrative review with recommendations for action. Annals of Global Health, 90(1), 76. https://doi.org/10.5334/aogh.4527

Sukumaran, K., Botternhorn, K. L., Schwartz, J., Gauderman, J., Cardenas-Iniguez, C., McConnell, R., Hackman, D. A., Berhane, K., Ahmadi, H., Abad, S., Habre, R., & Herting, M. M. (2024). Associations between fine particulate matter components, their sources, and cognitive outcomes in children ages 9–10 years old from the United States. Environmental Health Perspectives, 132(10). https://doi.org/10.1289/ehp14418

Wright, C. Y., Jaca, A., Kapwata, T., Naidoo, N., Awokola, B., Bainomugisha, E., Berhane, K. T., Blesic, S., Kehbila, A., Naidoo, R., Nemukula, B., Nyarko, B. K., Okekunle, A. P., Oni, T., Quansah, R., Thiam, S., Zakari, I. S., & Beyene, N. (2024). Identifying globally relevant learnings from Africa's challenges and solutions to climate change and air pollution-related health impacts: a data science scoping review protocol. BMJ open, 14(5), e076941. https://doi.org/10.1136/bmjopen-2023-076941

Abade, E., Mulugeta, W., Orowe, I., Hailemariam, G., Weke, P., Bekele, R., Zaugg, I., Goldsmith, J., Sanchez, T., & Berhane, K. (2024). A collaborative approach to advancing research and training in Public Health Data Science—Challenges, opportunities, and lessons learnt. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1474947

Xiaoyu Che

Cummings, M. J., Lutwama, J. J., Owor, N., Tomoiaga, A. S., Ross, J. E., Muwanga, M., Nsereko, C., Nayiga, I., Kyebambe, S., Shinyale, J., Ochar, T., Kiwubeyi, M., Nankwanga, R., Nie, K., Xie, H., Miake-Lye, S., Villagomez, B., Qi, J., Reynolds, S. J., Nakibuuka, M. C., Lu, X., Kayiwa, J., Harumba, M., Nakaseegu, J., Che, X. … O'Donnell, M. R. (2024). Unsupervised Classification of the Host Response Identifies Dominant Pathobiological Signatures of Sepsis in Sub-Saharan Africa. American journal of respiratory and critical care medicine, 10.1164/rccm.202407-1394OC. Advance online publication. https://doi.org/10.1164/rccm.202407-1394OC

Cummings, M. J., Bakamutumaho, B., Lutwama, J. J., Owor, N., Che, X., Astorkia, M., Postler, T. S., Kayiwa, J., Kiconco, J., Muwanga, M., Nsereko, C., Rwamutwe, E., Nayiga, I., Kyebambe, S., Haumba, M., Bosa, H. K., Ocom, F., Watyaba, B., Kikaire, B., Tomoiaga, A. S., … Collaboration for Clinical and Laboratory Characterization of COVID-19 in Uganda (2024). COVID-19 immune signatures in Uganda persist in HIV co-infection and diverge by pandemic phase. Nature communications, 15(1), 1475. https://doi.org/10.1038/s41467-024-45204-3

Bin Cheng

Rubinstein, T., Brickman, A. M., Cheng, B., Burkett, S., Park, H., Annavajhala, M. K., Uhlemann, A. C., Andrews, H., Gutierrez, J., Paster, B. J., Noble, J. M., & Papapanou, P. N. (2024). Periodontitis and brain magnetic resonance imaging markers of Alzheimer's disease and cognitive aging. Alzheimer's & dementia : the journal of the Alzheimer's Association, 20(3), 2191–2208. https://doi.org/10.1002/alz.13683

Benasi, G., Cheng, B., Aggarwal, B., & St-Onge, M. P. (2024). The effects of sustained mild sleep restriction on stress and distress among healthy adults: Findings from two randomized crossover studies. Sleep medicine, 115, 83–87. https://doi.org/10.1016/j.sleep.2024.02.001

Santos-Báez, L. S., Díaz-Rizzolo, D. A., Popp, C. J., Shaw, D., Fine, K. S., Altomare, A., St-Onge, M. P., Manoogian, E. N. C., Panda, S., Cheng, B., & Laferrère, B. (2024). Diet and Meal Pattern Determinants of Glucose Levels and Variability in Adults with and without Prediabetes or Early-Onset Type 2 Diabetes: A Pilot Study. Nutrients, 16(9), 1295. https://doi.org/10.3390/nu16091295

Spann, M. N., Bansal, R., Aydin, E., Pollatou, A., Alleyne, K., Bennett, M., Sawardekar, S., Delapenha, K., Cheng, B., Lee, S., Monk, C., & Peterson, B. S. (2024). Maternal prenatal immune activation associated with brain tissue microstructure and metabolite concentrations in newborn infants. Brain, behavior, and immunity, 122, 279–286. https://doi.org/10.1016/j.bbi.2024.08.025

Sun, H., Mehta, S., Khaitova, M., Cheng, B., Hao, X., Spann, M., & Scheinost, D. (2024). Brain age prediction and deviations from normative trajectories in the neonatal connectome. bioRxiv : the preprint server for biology, 2024.04.23.590811. https://doi.org/10.1101/2024.04.23.590811

Silva, R. B., Cheng, B., Carvajal, R. D., & Lee, S. M. (2024). Dose individualization for phase I cancer trials with broadened eligibility. Statistics in Medicine, 43(29), 5534–5547. https://doi.org/10.1002/sim.10264

Diaz-Rizzolo D, Santos Baez LS, Popp CJ, Borhan R, Sordi-Guth A, Manoogian E, Panda S, Cheng B, and Laferrère B, (2024), Late eating is associated with poor glucose tolerance, independent of body weight, fat mass, energy intake and diet composition in prediabetes or early onset type 2 diabetes. Nutrition and Diabetes, to appear.

Petrov ME, Zuraikat FM, Cheng B, Aggarwal B, Jelic S, Lafferère B, St-Onge MP, (2024), Impact of sleep restriction on biomarkers of thyroid function: Two pooled randomized trials. Sleep Med, to appear.

Min Qian, Xinyu Hu, and Bin Cheng, Personalized Policy Learning, Handbook of Statistical Methods for Precision Medicine, 2024.

Robert A. Tumasian III and Bin Cheng, Design and Statistical Analysis of Sequential Multiple Assignment Randomized Trials, Statistics in Precision Health: Theory, Methods and Applications, Springer, 2024.

Qixuan Chen

Williams, S. Z., Zou, J., Liu, Y., Si, Y., Galea, S., & Chen, Q. (2024). Improving Survey Inference Using Administrative Records Without Releasing Individual-Level Continuous Data. Statistics in medicine, 43(30): 5803-5813. https://doi.org/10.1002/sim.10270

Yu, Y., Little, R. J., Perzanowski, M., & Chen, Q. (2024). Multiple imputation of more than one environmental exposure with nondifferential measurement error. Biostatistics (Oxford, England), 25(2), 306–322. https://doi.org/10.1093/biostatistics/kxad011

Kuh, S., Kennedy, L., Chen, Q., Gelman, A. (2024) Using leave-one-out cross validation (LOO) in a multilevel regression and poststratification (MRP) workflow: A cautionary tale. Statistics in Medicine. 2024; 43(5):953-982. https://doi.org/10.1002/sim.9964

Lee, S., Li, G., Chihuri, S., Yu, Y., & Chen, Q. (2024). Using data fusion with multiple imputation to correct for misclassification in self-reported exposure: a case-control study of cannabis use and homicide victimization. Injury epidemiology, 11(1), 57. https://doi.org/10.1186/s40621-024-00545-x

Olawole, W., Li, G., Zhou, Z., Wu, Z., & Chen, Q. (2024). Impact of neighborhood-level COVID-19 mortality on the increase in drug overdose mortality in New York City during the COVID-19 pandemic. Injury epidemiology, 11(1), 65. https://doi.org/10.1186/s40621-024-00548-8

Flores, N. M., Lovinsky-Desir, S., Divjan, A., Hoepner, L. A., Zou, J., Miller, R. L., Herbstman, J. B., Perera, F. P., Perzanowski, M. S., & Chen, Q. (2024). Trajectory analysis of rhinitis in a birth cohort from lower-income New York City neighborhoods. The Journal of allergy and clinical immunology, 154(1), 111–119. https://doi.org/10.1016/j.jaci.2023.11.919

Greenleaf, A. R., Francis, S., Zou, J., Farley, S. M., Lekhela, T., Asiimwe, F., & Chen, Q. (2024). Influenza-Like Illness in Lesotho From July 2020 to July 2021: Population-Based Participatory Surveillance Results. JMIR public health and surveillance, 10, e55208. https://doi.org/10.2196/55208

Fan, W., Chen, Q., Maccarrone, V., Luk, L., Navot, B., & Salvatore, M. (2024). Developing radiology diagnostic tools for pulmonary fibrosis using machine learning methods. Clinical imaging, 106, 110047. https://doi.org/10.1016/j.clinimag.2023.110047

Fan, W., Chen, Q., Luk, L., Navot, B., Maccarrone, V., & Salvatore, M. (2024). Use of a radiology tool for the diagnosis of pulmonary fibrosis. Clinical imaging, 115, 110277. https://doi.org/10.1016/j.clinimag.2024.110277

Onyilofor, C.L., Feng, B., Zou, J., Barbecho, J.M., Duran, A.T., Ye, S., Garcia1, O., Singer, J., Chen, Q., Moise, N. Assessing the fidelity of depression screening implementation in coronary heart disease patients: A cross‐sectional study. Journal of the American Heart Association. 2024; 13:e035550. https://doi.org/10.1161/JAHA.124.035550

Spaur, M., Galvez-Fernandez, M., Chen, Q., Lombard, M. A., Bostick, B. C., Factor-Litvak, P., Fretts, A. M., Shea, S. J., Navas-Acien, A., & Nigra, A. E. (2024). Association of Water Arsenic With Incident Diabetes in U.S. Adults: The Multi-Ethnic Study of Atherosclerosis and the Strong Heart Study. Diabetes care, 47(7), 1143–1151. https://doi.org/10.2337/dc23-2231

Spaur, M., Glabonjat, R. A., Schilling, K., Lombard, M. A., Galvez-Fernandez, M., Lieberman-Cribbin, W., Hayek, C., Ilievski, V., Balac, O., Izuchukwu, C., Patterson, K., Basu, A., Bostick, B. C., Chen, Q., Sanchez, T., Navas-Acien, A., & Nigra, A. E. (2024). Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis. Journal of exposure science & environmental epidemiology, 34(1), 77–89. https://doi.org/10.1038/s41370-023-00586-2

Qian, N., Gao, X., Lang, X., Deng, H., Bratu, T. M., Chen, Q., Stapleton, P., Yan, B., & Min, W. (2024). Rapid single-particle chemical imaging of nanoplastics by SRS microscopy. Proceedings of the National Academy of Sciences of the United States of America, 121(3), e2300582121. https://doi.org/10.1073/pnas.2300582121

Kreski, N. T., Askari, M. S., Cerdá, M., Chen, Q., Hasin, D. S., Martins, S. S., Mauro, P. M., Olfson, M., & Keyes, K. M. (2024). Changing adolescent activity patterns and the correlation of self-esteem and externalizing mental health symptoms across time: results from the USA from 1991 through 2020. Psychological medicine, 54(1), 169–177. https://doi.org/10.1017/S0033291723001150

Ying Kuen K. Cheung

Foley, A. R., Yun, P., Leach, M. E., Neuhaus, S. B., Averion, G. V., Hu, Y., Hayes, L. H., Donkervoort, S., Jain, M. S., Waite, M., Parks, R., Bharucha-Goebel, D. X., Mayer, O. H., Zou, Y., Fink, M., DeCoster, J., Mendoza, C., Arévalo, C., Hausmann, R., Petraki, D., … Cheung, K., Bönnemann, C. G. (2024). Phase 1 Open-Label Study of Omigapil in Patients With LAMA2- or COL6-Related Dystrophy. Neurology. Genetics, 10(3), e200148. https://doi.org/10.1212/NXG.0000000000200148

Reis, K., Wolf, A., Perumal, R., Seepamore, B., Guzman, K., Ross, J., Cheung, K., Amico, K. R., Brust, J. C. M., Padayatchi, N., Friedland, G., Naidoo, K., Daftary, A., Zelnick, J., & O'Donnell, M. (2024). Differentiated service delivery framework for people with multidrug-resistant tuberculosis and HIV co-infection. Journal of acquired immune deficiency syndromes (1999), 10.1097/QAI.0000000000003394. Advance online publication. https://doi.org/10.1097/QAI.0000000000003394

Thall, P. F., Garrett-Mayer, E., Wages, N. A., Halabi, S., & Cheung, Y. K. (2024). Current issues in dose-finding designs: A response to the US Food and Drug Adminstration's Oncology Center of Excellence Project Optimus. Clinical trials (London, England), 21(3), 267–272. https://doi.org/10.1177/17407745241234652

Todd, J. J., Lawal, T. A., Chrismer, I. C., Kokkinis, A., Grunseich, C., Jain, M. S., Waite, M. R., Biancavilla, V., Pocock, S., Brooks, K., Mendoza, C. J., Norato, G., Cheung, K., Riekhof, W., Varma, P., Colina-Prisco, C., Emile-Backer, M., Meilleur, K. G., Marks, A. R., Webb, Y., … Mohassel, P. (2024). Rycal S48168 (ARM210) for RYR1-related myopathies: a phase one, open-label, dose-escalation trial. EClinicalMedicine, 68, 102433. https://doi.org/10.1016/j.eclinm.2024.102433

Friel, C. P., Goodwin, A. M., Robles, P. L., Butler, M. J., Pahlevan-Ibrekic, C., Duer-Hefele, J., Vicari, F., Gordon, S., Chandereng, T., Cheung, Y. K. K., & Davidson, K. W. (2023). Feasibility Test of Personalized (N-of-1) Trials for Increasing Middle-Aged and Older Adults' Physical Activity. Research square, rs.3.rs-3788631. https://doi.org/10.21203/rs.3.rs-3788631/v1

Hanga Galfalvy

Choo, T. H., Wall, M., Brodsky, B. S., Herzog, S., Mann, J. J., Stanley, B., & Galfalvy, H. (2024). Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks. Journal of affective disorders, 360, 268–275. https://doi.org/10.1016/j.jad.2024.05.093(co-advisor with Dr. Melanie Wall of student Tse Choo)

Szanto, K., Szücs, A., Kenneally, L. B., & Galfalvy, H. C. (2024). Is Late-Onset Suicidal Behavior a Distinct Subtype?. The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 32(5), 622–629. https://doi.org/10.1016/j.jagp.2023.12.007

Herzog, S., Bartlett, E. A., Zanderigo, F., Galfalvy, H. C., Burke, A., Mintz, A., Schmidt, M., Hauser, E., Huang, Y. Y., Melhem, N., Sublette, M. E., Miller, J. M., & Mann, J. J. (2024). Neuroinflammation, Stress-Related Suicidal Ideation, and Negative Mood in Depression. JAMA psychiatry, e243543. Advance online publication. https://doi.org/10.1001/jamapsychiatry.2024.3543 Epub ahead of print. PMID: 39504032; PMCID: PMC11541744.

Meore, A., Ganesh, N., Sun, S., Singer, A., Byma, L., Lorenzetti, B., Feder, A., Adams, T., Galfalvy, H., Boyer, J., & Haghighi, F. (2024). Pilot study of telehealth delivery of horticultural therapy (TeleHT) as an acceptable intervention and in reducing suicide risk factors in veterans. Complementary therapies in medicine, 85, 103075. https://doi.org/10.1016/j.ctim.2024.103075

Herzog, S., Schneck, N., Galfalvy, H., Hwei-Choo, T., Schmidt, M., Michel, C. A., Sublette, M. E., Burke, A., Ochsner, K., Mann, J. J., Oquendo, M. A., & Stanley, B. H. (2024). A Neural Signature for Reappraisal as an Emotion Regulation Strategy: Relationship to Stress-Related Suicidal Ideation and Negative Affect in Major Depression. Biological psychiatry. Cognitive neuroscience and neuroimaging, S2451-9022(24)00246-5. Advance online publication. https://doi.org/10.1016/j.bpsc.2024.08.011

Szücs, A., Galfalvy, H., Alessi, M. G., Kenneally, L. B., Valderas, J. M., Maier, A. B., & Szanto, K. (2024). Diligent for better or worse: Conscientiousness is associated with higher likelihood of suicidal behavior and more severe suicidal intent in later life. Comprehensive psychiatry, 135, 152523. https://doi.org/10.1016/j.comppsych.2024.152523

Bloom, P. A., Lan, R., Galfalvy, H., Liu, Y., Bitran, A., Joyce, K., Durham, K., Porta, G., Kirshenbaum, J. S., Kamath, R., Tse, T. C., Chernick, L., Kahn, L. E., Crowley, R., Trivedi, E., Brent, D., Allen, N. B., Pagliaccio, D., & Auerbach, R. P. (2024). Identifying factors impacting missingness within smartphone-based research: Implications for intensive longitudinal studies of adolescent suicidal thoughts and behaviors. Journal of psychopathology and clinical science, 133(7), 577–597. https://doi.org/10.1037/abn0000930

Nazem, S., Sun, S., Barnes, S. M., Monteith, L. L., Hostetter, T. A., Forster, J. E., Brenner, L. A., Galfalvy, H., & Haghighi, F. (2024). Impact of an internet-based insomnia intervention on suicidal ideation and associated correlates in veterans at elevated suicide risk. Translational behavioral medicine, 14(11), 673–683. https://doi.org/10.1093/tbm/ibae032

Oquendo, M. A., Galfalvy, H. C., Choo, T. H., Herzog, S., Burke, A. K., Sublette, M. E., Mann, J. J., & Stanley, B. H. (2024). Occurrence and characteristics of suicidal ideation in psychiatrically healthy individuals based on ecological momentary assessment. Molecular psychiatry, 29(11), 3356–3363. https://doi.org/10.1038/s41380-024-02560-2

Otsuka, I., Galfalvy, H., Guo, J., Akiyama, M., Okazaki, S., Terao, C., Rujescu, D., Turecki, G., Hishimoto, A., & Mann, J. J. (2024). Relationship of Major Depressive Disorder and Schizophrenia Polygenic Risk Scores to Suicide: A Comparison Between European and Asian Ancestry Populations. Archives of suicide research : official journal of the International Academy for Suicide Research, 1–8. Advance online publication. https://doi.org/10.1080/13811118.2024.2332258

Sajid, S., Galfalvy, H. C., Keilp, J. G., Burke, A. K., Mann, J. J., & Grunebaum, M. F. (2024). Acute Dissociation and Ketamine's Antidepressant and Anti-Suicidal Ideation Effects in a Midazolam-Controlled Trial. The international journal of neuropsychopharmacology, 27(4), pyae017. https://doi.org/10.1093/ijnp/pyae017

Sajid, S., Lawrence, R. E., Galfalvy, H. C., Keilp, J. G., Moitra, V. K., Mann, J. J., & Grunebaum, M. F. (2024). Intramuscular ketamine vs. midazolam for rapid risk-reduction in suicidal, depressed emergency patients: Clinical trial design and rationale. Journal of affective disorders reports, 15, 100690. https://doi.org/10.1016/j.jadr.2023.100690

Sun, S., Liu, Q., Wang, Z., Huang, Y. Y., Sublette, M. E., Dwork, A. J., Rosoklija, G., Ge, Y., Galfalvy, H., Mann, J. J., & Haghighi, F. (2024). Brain and blood transcriptome profiles delineate common genetic pathways across suicidal ideation and suicide. Molecular psychiatry, 29(5), 1417–1426. https://doi.org/10.1038/s41380-024-02420-z

Sullan, M. J., Stearns-Yoder, K. A., Wang, Z., Hoisington, A. J., Bramoweth, A. D., Carr, W., Ge, Y., Galfalvy, H., Haghighi, F., & Brenner, L. A. (2024). Study protocol: Identifying transcriptional regulatory alterations of chronic effects of blast and disturbed sleep in United States Veterans. PloS one, 19(3), e0301026. https://doi.org/10.1371/journal.pone.0301026

Annam, J., Galfalvy, H. C., Keilp, J. G., Simpson, N., Huang, Y. Y., Nandakumar, R., Byrnes, A., Nitahara, K., Hall, A., Stanley, B., Mann, J. J., & Sublette, M. E. (2024). Plasma cytokine and growth factor response to acute psychosocial stress in major depressive disorder. Journal of psychiatric research, 169, 224–230. https://doi.org/10.1016/j.jpsychires.2023.11.029

Jeff Arthur Goldsmith

Wrobel, J., Sauerbrei, B., Kirk, E. A., Guo, J.-Z., Hantman, A., and Goldsmith, J. (2024). Modeling trajectories using functional linear differential equations. The Annals of Applied Statistics, 18, 3425–3443. https://doi.org/10.48550/arXiv.2406.19535

Méndez-Civieta, Á., Wei, Y., Diaz, K. M., & Goldsmith, J. (2024). Functional quantile principal component analysis. Biostatistics (Oxford, England), kxae040. Advance online publication. https://doi.org/10.1093/biostatistics/kxae040

Tung, P. W., Bloomquist, T. R., Baccarelli, A. A., Herbstman, J. B., Rauh, V., Perera, F., Goldsmith, J., Margolis, A., & Kupsco, A. (2024). Mitochondrial DNA copy number and neurocognitive outcomes in children. Pediatric research, 10.1038/s41390-024-03653-y. Advance online publication. https://doi.org/10.1038/s41390-024-03653-y

Ensari, I., Caceres, B. A., Jackman, K. B., Goldsmith, J., Suero-Tejeda, N. M., Odlum, M. L., & Bakken, S. (2024). Characterizing daily physical activity patterns with unsupervised learning via functional mixture models. Journal of behavioral medicine, 10.1007/s10865-024-00519-w. Advance online publication. https://doi.org/10.1007/s10865-024-00519-w

Tu, D., Wrobel, J., Satterthwaite, T. D., Goldsmith, J., Gur, R. C., Gur, R. E., Gertheiss, J., Bassett, D. S., & Shinohara, R. T. (2024). Regression and Alignment for Functional Data and Network Topology. bioRxiv : the preprint server for biology, 2023.07.13.548836. https://doi.org/10.1101/2023.07.13.548836

Martinez-Morata, I., Parvez, F., Wu, H., Eunus, M., Goldsmith, J., Ilievski, V., Slavkovich, V., Balac, O., Izuchukwu, C., Glabonjat, R. A., Ellis, T., Nasir Uddin, M., Islam, T., Sadat Arif, A., van Geen, A., Navas-Acien, A., Graziano, J. H., & Gamble, M. V. (2024). Influence of folic acid and vitamin B12 supplementation on arsenic methylation: A double-blinded, placebo-controlled trial in Bangladeshi children. Environment international, 187, 108715. https://doi.org/10.1016/j.envint.2024.108715

Reddam, A., Bloomquist, T. R., Covell, L. T., Hu, H., Oberfield, S. E., Gallagher, D., Miller, R. L., Goldsmith, J., Rundle, A. G., Baccarelli, A. A., Herbstman, J. B., & Kupsco, A. (2024). Inverse associations of cord blood mitochondrial DNA copy number with childhood adiposity. Obesity (Silver Spring, Md.), 32(5), 989–998. https://doi.org/10.1002/oby.24005

Woo Baidal, J., Finkel, M. A., Kelman, E., Duong, N., Bien-Aime, C., Goldsmith, J., Albrecht, S. S., Hulse, E., Rosenthal, A., Reiss, J., Schwartz, R., Meyer, D., & on behalf of the HERALD Collaborative. (2024). Longitudinal Associations of Food Security with Health and Dietary Factors among Food FARMacy Participants during COVID-19 in New York City. Nutrients, 16(3), 434. https://doi.org/10.3390/nu16030434

Martinez-Morata, I., Wu, H., Galvez-Fernandez, M., Ilievski, V., Bottiglieri, T., Niedzwiecki, M. M., Goldsmith, J., Jones, D. P., Kioumourtzoglou, M. A., Pierce, B., Walker, D. I., & Gamble, M. V. (2024). Metabolomic Effects of Folic Acid Supplementation in Adults: Evidence from the FACT Trial. The Journal of nutrition, 154(2), 670–679. https://doi.org/10.1016/j.tjnut.2023.12.010

Nunez, Y., Benavides, J., Shearston, J. A., Krieger, E. M., Daouda, M., Henneman, L. R. F., McDuffie, E. E., Goldsmith, J., Casey, J. A., & Kioumourtzoglou, M. A. (2024). An environmental justice analysis of air pollution emissions in the United States from 1970 to 2010. Nature communications, 15(1), 268. https://doi.org/10.1038/s41467-023-43492-9

Schilling, K., Glabonjat, R. A., Balac, O., Gálvez-Fernández, M., Domingo-Relloso, A., Slavkovich, V., Goldsmith, J., Jones, M. R., Sanchez, T. R., & Navas-Acien, A. (2024). Method validation for (ultra)-trace element concentrations in urine for small sample volumes in large epidemiological studies: application to the population-based epidemiological multi-ethnic study of atherosclerosis (MESA). Analytical methods : advancing methods and applications, 16(2), 214–226. https://doi.org/10.1039/d3ay01605f

Prakash Gorroochurn

Johnson, J., Lee, J., Movassaghi, M., Han, D., Pingle, S. R., Williams, J., Schulster, M., Gorroochurn, P., Shao, Y., & Shah, O. (2024). Comparative Analyses and Ablation Efficiency of Thulium Fiber Laser by Stone Composition. The Journal of urology, 211(3), 445–454. https://doi.org/10.1097/JU.0000000000003833

Diamond, D. F., Hirji, S., Xing, S. X., Gorroochurn, P., Horowitz, J. D., Wang, Q., Park, L., Harizman, N., Maruri, S. C., Henriquez, D. R., Liebmann, J. M., Cioffi, G. A., & Hark, L. A. (2024). Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): optometric exam improves access and utilization of eye care services. Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 262(5), 1619–1631. https://doi.org/10.1007/s00417-023-06344-2

Morse, A. R., Hark, L. A., Gorroochurn, P., Rojas, R., Seiple, W. H., Shukla, A. G., Wang, Y., Maruri, S. C., Henriquez, D. R., Harizman, N., Wang, Q., Liebmann, J. M., & Cioffi, G. A. (2024). Association of Psychosocial Factors with Activation Among Patients with Glaucoma. Ophthalmology. Glaucoma, 7(4), 410–417. https://doi.org/10.1016/j.ogla.2024.01.008

Hark, L. A., Horowitz, J. D., Gorroochurn, P., Park, L., Wang, Q., Diamond, D. F., Harizman, N., Auran, J. D., Maruri, S. C., Henriquez, D. R., Carrion, J., Muhire, R. S. M., Kresch, Y. S., Pizzi, L. T., Jutkowitz, E., Sapru, S., Sharma, T., De Moraes, C. G., Friedman, D. S., Liebmann, J. M., … Cioffi, G. A. (2023). Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): Baseline Results and Costs of a Cluster-Randomized Trial. American journal of ophthalmology, 251, 12–23. https://doi.org/10.1016/j.ajo.2023.01.019

Concepción-González, A., Sarmiento, J. M., Rymond, C. C., Ezeh, C., Sinha, R., Lin, H., Lu, K., Boby, A. Z., Gorroochurn, P., Larson, A. N., Roye, B. D., Ilharreborde, B., Vitale, M. G., & European Pediatric Orthopaedic Society Spine Study Group, Pediatric Spine Study Group, Harms Study Group (2024). Evaluating compliance with the best practice guidelines for wrong-level surgery prevention in high-risk pediatric spine surgery. Spine deformity, 12(4), 923–932. https://doi.org/10.1007/s43390-024-00836-9

Hark, L. A., Wang, Y., Gorroochurn, P., Simon, P. R., Maruri, S. C., Henriquez, D. R., Diamond, D. F., Horowitz, J. D., Park, L., Wang, Q., Auran, J. D., Carrion, J., Friedman, D. S., Liebmann, J. L., Cioffi, G. A., & Harizman, N. (2024). Manhattan Vision Screening and Follow-up Study (NYC-SIGHT): a nested cross-sectional assessment of falls risk within a cluster randomised trial. The British Journal of Ophthalmology, bjo-2022-323052. Advance online publication. https://doi.org/10.1136/bjo-2022-323052

Givens, R., Bousleiman, J., Herbert, M.M., Boby, A.Z., Lu, K., Koder, A.M., Rosenwasser, K.A., Gorroochurn, P. and Russo, C.M., (2024) Pediatric Bone Health in the Community: Caretaker Comprehension. Journal of the Pediatric Orthopaedic Society of North America, p.100055.

Denham, M. W., Tucker, L. H., Gorroochurn, P., & Golub, J. S. (2024). Hearing Loss and Reduced Income Growth: A Longitudinal Socioeconomic Analysis. Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery, 171(3), 740–746. https://doi.org/10.1002/ohn.797

Neckonoff, E. L., Marte, J., Gorroochurn, P., Joice, G. A., & Anderson, C. B. (2024). National Trends of Inpatient Radiation Cystitis: 2016-2019. Urology practice, 11(4), 700–707. https://doi.org/10.1097/UPJ.0000000000000579

Neckonoff, E. L., Marte, J., Gorroochurn, P., Joice, G. A., & Anderson, C. B. (2024). Reply by Authors. Urology practice, 11(4), 707.

Badalato, G. M., Khan, S., Gorroochurn, P., Lemack, G. E., McKiernan, J. M., Hruby, G., & Anderson, C. B. (2024). The Impact of American Board of Urology Certification on Postoperative Outcomes for Patients in New York State. Urology practice, 11(5), 893–899. https://doi.org/10.1097/UPJ.0000000000000629

Bonsignore-Opp, L., Malka, M. S., Gorroochurn, P., Bender, J., Kunes, J. A., Fogel, H., Schweppe, E., Vosseller, J. T., & Greisberg, J. K. (2024). What Is the Risk of Irrigation and Debridement Following Foot and Ankle Surgery? Development of a Risk Severity Scoring System. Clinical orthopaedics and related research, 10.1097/CORR.0000000000003177. Advance online publication.

Joffe, B. I., Martina, L. P., Stillman, M., Rust, D., Gorroochurn, P., Lenis, A. T., DeCastro, G. J., McKiernan, J. M., & Anderson, C. B. (2024). Tumor characteristics in immunosuppressed and renal dysfunction populations. Urologic oncology, S1078-1439(24)00651-3. Advance online publication.

Chernick, L. S., Bugaighis, M., Hochster, D., Daylor, V., Gorroochurn, P., Schnall, R., Stockwell, M. S., & Bell, D. (2024). A Randomized Controlled Trial of a Digital Intervention to Improve the Sexual Health of Adolescent and Young Adult Male Emergency Department Patients. The Journal of adolescent health: official publication of the Society for Adolescent Medicine, S1054-139X(24)00416-6. Advance online publication.

Gazgalis, A., Simmons, S., Doucet, M., Gorroochurn, P., Cooper, H. J., & Herndon, C. L. (2024). Higher Comorbidities are Correlated With Readmission Following Arthroplasty for Femoral Neck Fracture. Arthroplasty today, 30, 101494. https://doi.org/10.1016/j.artd.2024.101494

Hark, L. A., Lin, W. V., Hirji, S., Gorroochurn, P., Horowitz, J. D., Diamond, D. F., Park, L., Wang, Q., Auran, J. D., Maruri, S. C., Henriquez, D. R., Sharma, T., Valenzuela, I., Liebmann, J. M., Cioffi, G. A., Friedman, D. S., & Harizman, N. (2024). Manhattan Vision Screening and Follow-Up Study (NYC-SIGHT): Subanalysis of Referral to Ophthalmology. Current eye research, 49(2), 197–206. https://doi.org/10.1080/02713683.2023.2269614

Tian Gu

Gu, T., Han, Y., & Duan, R. (2024). Robust angle-based transfer learning in high dimensions, Journal of the Royal Statistical Society Series B: Statistical Methodology. https://doi.org/10.1093/jrsssb/qkae111

Lu, Y., Gu, T., & Duan, R. (2024). Enhancing genetic risk prediction through federated semi-supervised Transfer learning with inaccurate electronic health record data. Statistics in Biosciences. https://doi.org/10.1007/s12561-024-09449-2

Lai, D., Padilla Madrid O.H., & Gu, T. (2024). Bayesian Transfer Learning for Enhanced Estimation and Inference. arXiv preprint arXiv:2412.02986 (2024). https://doi.org/10.48550/arXiv.2412.02986

Wenpin Hou

Hou, W., and Ji, Z. (2024). A systematic evaluation of large language models for generating programming code. Preprint in arXiv, 2024 March 1. Accepted for publication in Advanced Science. https://doi.org/10.48550/arXiv.2403.00894

Hou, W., and Ji, Z. (2024). GPT-4V exhibits human-like performance in biomedical image classification. Preprint in bioRxiv, 2024 January 1. In peer-review Journal Revision. https://www.biorxiv.org/content/10.1101/2023.12.31.573796v1

Montagne, J.M., Mitchell, J.T., Tandurella, J.A., Christenson, E.S., Danilova, L.V., Deshpande, A., Melanie L., Sidiropoulos, D.N., Davis-Marcisak, E.,Bergman, D.R., Zhu, Q., Wang, H., Kagohara, L.T., Engle, L.L., Green, B.F., Favorov, A.V., Ho, W.J., Lim, S.J., Zhang, R., Li, P., Gai, J., Mo, G., Mitchell, S., Wang, R., Vaghasia, A., Hou, W., Xu, Y., Zimmerman, J.W., Elisseeff, J.H., Yegnasubramanian, S., Anders, R.A., Jaffee, E.M., Zheng, L. and Fertig, E.J. (2024). CD137 agonism enhances anti-PD1 induced activation of clonally expanded CD8+ T cells in a neoadjuvant pancreatic cancer clinical trial. iScience. https://doi.org/10.1016/j.isci.2024.111569

Hou, W., & Ji, Z. (2024). Assessing GPT-4 for cell type annotation in single-cell RNA-seq analysis. Nature methods, 21(8), 1462–1465. https://doi.org/10.1038/s41592-024-02235-4 Software package: GPTCelltype.

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Jianhua Hu

Mi, X., Bekerman, W., Rustgi, A.K., Sims, P.A., Canoll, P.D., Hu, J. (2024). RZiMM-scRNA: A regularized zero-inflated mixture model framework for single-cell RNA-seq data. 2024. Annals of the Applied Statistics, 18(1): 1-22. https://doi.org/10.48550/arXiv.2110.12964

Cheng, C., Ma, H., Zhong, Y., Uhlemann, A., Feng, X., Hu, J. (2024). Biomarker detection for disease classification in longitudinal microbiome data. In press with Annals of the Applied Statistics

Chen, J., Terry, M. B., Dalerba, P., Hur, C., Hu, J., & Yang, W. (2024). Environmental drivers of the rising incidence of early-onset colorectal cancer in the United States. International journal of cancer, 154(11), 1930–1939. https://doi.org/10.1002/ijc.34887

Iuliana Ionita-Laza

Lee, H., Khan, A., Wang, C., Weng, C., Buxbaum, J.D., Kiryluk, K., Ionita-Laza, I. (2024). Liability threshold model-based disease risk prediction based on Electronic Health Record phenotypes. Nature Genetics, accepted.

Wang, T., Ionita-Laza, I., Wei, Y., (2024). A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations. Annals of Applied Statistics, accepted.

Ma, S., Wang, F., Border, R., Buxbaum, J., Zaitlen, N., & Ionita-Laza, I. (2024). Local genetic correlation via knockoffs reduces confounding due to cross-trait assortative mating. American journal of human genetics, 111(12), 2839–2848. https://doi.org/10.1016/j.ajhg.2024.10.012

Wang, C., Wang, T., Kiryluk, K., Wei, Y., Aschard, H., & Ionita-Laza, I. (2024). Genome-wide discovery for biomarkers using quantile regression at biobank scale. Nature communications, 15(1), 6460. https://doi.org/10.1038/s41467-024-50726-x

Yang, Y., Wang, Q., Wang, C., Buxbaum, J., & Ionita-Laza, I. (2024). Knockoffhybrid: A knockoff framework for hybrid analysis of trio and population designs in genome-wide association studies. The American Journal of Human Genetics, 111(7), 1448–1461. https://doi.org/10.1016/j.ajhg.2024.05.003

Haomiao Jia

Schnall, R., Scherr, T. F., Kuhns, L. M., Janulis, P., Jia, H., Wood, O. R., Almodovar, M., & Garofalo, R. (2024). Efficacy of the MLAB app: A randomized clinical trial for increasing HIV testing uptake using mobile technology. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae261

Martsolf, G., Kim, D. K., Fair, L., Liu, J., Jia, H., Cato, K., & Poghosyan, L. (2024). Racial Disparities in Chronic Conditions Outcomes in Primary Care Settings: Between- Versus Within-Practice Differences. Inquiry: A Journal of Medical Care Organization, Provision and Financing, 61, 00469580241282227. https://doi.org/10.1177/00469580241282227

Papa, A., Okun, A. H., Barile, J. P., Jia, H., Thompson, W. W., & Guerin, R. J. (2024). Patterns and correlates of traumatic stress, depression, anxiety, and moral injury in U.S. health care providers late in the COVID-19 pandemic. Psychological trauma : theory, research, practice and policy, 10.1037/tra0001780. Advance online publication. https://doi.org/10.1037/tra0001780

Rossetti, S. C., Dykes, P. C., Knaplund, C., Cho, S., Withall, J., Lowenthal, G., Albers, D., Lee, R., Jia, H., Bakken, S., Kang, M. J., Chang, F. Y., Zhou, L., Bates, D. W., Daramola, T., Liu, F., Schwartz-Dillard, J., Tran, M., Abbas Bokhari, S. M., Thate, J., … Cato, K. D. (2024). Multisite Pragmatic Cluster-Randomized Controlled Trial of the CONCERN Early Warning System. medRxiv : the preprint server for health sciences, 2024.06.04.24308436. https://doi.org/10.1101/2024.06.04.24308436

Mielenz, T. J., Jia, H., DiGuiseppi, C. G., Strogatz, D., Andrews, H. F., Molnar, L. J., Eby, D. W., Hill, L. L., & Li, G. (2024). Frailty and poor physical functioning as risk factors for driving cessation. Frontiers in public health, 12, 1298539. https://doi.org/10.3389/fpubh.2024.1298539

Cordoba, E., Garofalo, R., Kuhns, L. M., Pearson, C., Scott Batey, D., Janulis, P., Jia, H., Bruce, J., Hidalgo, M. A., Hirshfield, S., Radix, A., Belkind, U., Duncan, D. T., Kim, B., & Schnall, R. (2024). Neighborhood-level characteristics as effect modifiers on the efficacy of the MyPEEPS mobile intervention in same-sex attracted adolescent men. Preventive medicine reports, 42, 102726. https://doi.org/10.1016/j.pmedr.2024.102726

Jia, H., & Lubetkin, E. I. (2024). Ranking the Ten Adverse Childhood Experiences: Long-Term Consequences to Health-Related Quality of Life. American journal of preventive medicine, 67(2), 265–273. https://doi.org/10.1016/j.amepre.2024.04.001

Jia, H., & Lubetkin, E. I. (2024). Relative importance of selected predictors of health-related quality-of-life (HRQOL) among U.S. adults. Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 33(6), 1633–1645. https://doi.org/10.1007/s11136-024-03632-0

Green, N. S., Manwani, D., Aygun, B., Appiah-Kubi, A., Smith-Whitley, K., Castillo, Y., Soriano, L., Jia, H., & Smaldone, A. M. (2024). Hydroxyurea Adherence for Personal Best in Sickle Cell Treatment (HABIT) efficacy trial: Community health worker support may increase hydroxyurea adherence of youth with sickle cell disease. Pediatric blood & cancer, 71(4), e30878. https://doi.org/10.1002/pbc.30878

Mielenz, T. J., Jia, H., DiGuiseppi, C., Molnar, L. J., Strogatz, D., Hill, L. L., Andrews, H. F., Eby, D. W., Jones, V. C., & Li, G. (2024). Impact of driving cessation on health-related quality of life trajectories. Health and quality of life outcomes, 22(1), 13. https://doi.org/10.1186/s12955-024-02231-4

Olaya, F., Brin, M., Caraballo, P. B., Halpern, M., Jia, H., Ramírez, S. O., Padilla, J. J., Stonbraker, S., & Schnall, R. (2024). A randomized controlled trial of the dissemination of an mHealth intervention for improving health outcomes: the WiseApp for Spanish-speakers living with HIV study protocol. BMC public health, 24(1), 201. https://doi.org/10.1186/s12889-023-17538-y

Zhezhen Jin

Bloomhardt, H.,Rubin, M., Xue, Y., Jin, Z., Masino, L., Seidel, D., Hijiya, N. and Beauchemin, M. (2024) Pediatric oncology provider perspectives and patient/family perceptions of chemotherapy-induced nausea and vomiting (CINV) management: Experiences at an academic medical center, Pediatric Blood & Cancer, e30883. https://doi.org/10.1002/pbc.30883

Yoshida, Y., Jin, Z., Mannina, C., Shames, S., Nakanishi, K., Leibowitz, D., Elkind, M.S.V., Rundek, T. and Di Tullio, M.R. (2024) Aortic arch plaques and the long-term risk of stroke and cardiovascular events in the statin era, Stroke, 55, 69-77. https://doi.org/10.1161/STROKEAHA.123.044546

Nelson, J.E., Sanchez, K.M., Yao, Y., Jin, Z., Zitsman, J.L., Kattan, M., Garofano, R. P., Layton, A.M. and De, A. (2024) Cardiopulmonary exercise testing among pediatric patients with severe obesity prior to bariatric surgery, Progression Pediatric Cardiology, 72, 101708. https://doi.org/10.1016/j.ppedcard.2024.101708

Wei. Q., Yao, Z., Cui, Y., Wei, B., Jin, Z., and Xu, X. (2024) Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis, Journal of Biomedical Informatics, 104620. https://doi.org/10.1016/j.jbi.2024.104620

Wu, C.-Y., Huang, L.-S., Jin, Z., (2024) Decomposition and reproducing property of local polynomial equivalent kernels in varying coefficient models, Journal of Nonparametric Statistics, 36, 357-372. https://doi.org/10.1080/10485252.2023.2217941

Freda, P. U., Bruce, J. N., Jin, Z., Kostadinov, J., Khandji, A. G., Cremers, S., Post, K. D. (2024) Prospective, longitudinal study of cancer predictors and rates in a New York City cohort of 598 patients with acromegaly, The Journal of Clinical Endocrinology & Metabolism, dgae469. https://doi.org/10.1210/clinem/dgae469

Kumar, A., Gwalani, P., Iyer, P. G., Wang, K. K., Falk, G. W.,Ginsberg, G. G., Lightdale, C. J., Del Portillo, A., Lagana, S. M., Li, Y., Li, H., Genkinger, J., Jin, Z., Rustgi, A. K., Wang, T. C., Wang, H. H., Quante, M., Abrams, J. A. (2024) Shifts in serum bile acid profiles associated with Barrett's esophagus and stages of progression to esophageal adenocarcinoma, Clinical and Translational Gastroenterology, DOI: 10.14309/ctg.0000000000000762. https://doi.org/10.14309/ctg.0000000000000762

Liu, R., Wang, C., Yao, Y. and Jin, Z. (2024) Smoothed empirical likelihood for optimal cut point analysis, Communications in Statistics-Theory and Methods, 53, 6299-6314. https://doi.org/10.1080/03610926.2023.2244096

Xicota, L., Dang, L-H, Lee, A., Krinsky-McHale, S., Pang, D., Melilli, L., O'Bryant, S., Henson, R. L., Laymon, C., Lai, F., Rosas, D., Ances,B., Lott, I., Hom, C., Christian, B., Hartley, S., Zaman,S., Head, E., Mapstone, M, Jin, Z., Silverman, W., Schupf, N., Handen, B., and Lee, J.H., Alzheimer's Biomarker Consortium - Down Syndrome (ABC-DS) (2004) The effects of mosaicism on biological and clinical markers of Alzheimer's disease in adults with Down syndrome, eBioMedicine, 110, 105433. https://doi.org/10.1016/j.ebiom.2024.105433

Mannina, C., Ito, K., Jin, Z., Yoshida, Y., Russo, C., Nakanishi, K., Rundek, T., Homma, S., Elkind, M.S.V., and Di Tullio, M.R. (2024) Left atrial function and incident heart failure in older adults, Journal of the American Society of Echocardiography, in press. https://doi.org/10.1016/j.echo.2024.09.012

Yao, Y and Jin, Z. A perturbation subsampling for large scale data, Statistica Sinica, in press. http://dx.doi.org/10.5705/ss.202022.0020

Yu, L. and Jin, Z. Heteroscedastic survival data analysis with accelerated failure time model, Statistica Sinica, in press. https://doi.org/10.48550/arXiv.1508.05137

Shing M. Lee

Lichtenstein, M. R. L., Beauchemin, M. P., Raghunathan, R., Lee, S., Doshi, S. D., Law, C., Accordino, M. K., Elkin, E. B., Wright, J. D., & Hershman, D. L. (2024). Association Between Copayment Assistance, Insurance Type, Prior Authorization, and Time to Receipt of Oral Anticancer Drugs. JCO oncology practice, 20(1), 85–92. https://doi.org/10.1200/OP.23.00205

Accordino, M. K., Lee, S., Leu, C. S., Levin, B., Trivedi, M. S., Crew, K. D., Kalinsky, K., Raghunathan, R., Faheem, K., Harden, E., Taboada, A., de Oliveira, B. D., Larson, E., Franks, L., Honan, E., Law, C., & Hershman, D. L. (2024). Randomized adaptive selection trial of cryotherapy, compression therapy, and placebo to prevent taxane-induced peripheral neuropathy in patients with breast cancer. Breast cancer research and treatment, 204(1), 49–59. https://doi.org/10.1007/s10549-023-07172-y

Maués, J., Loeser, A., Cowden, J., Johnson, S., Carlson, M., & Lee, S. (2024). The patient perspective on dose optimization for anticancer treatments: A new era of cancer drug dosing-Challenging the "more is better" dogma. Clinical trials (London, England), 21(3), 358–362. https://doi.org/10.1177/17407745241232428

Biard, L., Andrillon, A., Silva, R. B., & Lee, S. M. (2024). Dose optimization for cancer treatments with considerations for late-onset toxicities. Clinical trials (London, England), 21(3), 322–330. https://doi.org/10.1177/17407745231221152

Alger, E., Lee, S. M., Cheung, Y. K., & Yap, C. (2024). U-PRO-CRM: designing patient-centred dose-finding trials with patient-reported outcomes. ESMO open, 9(7), 103626. https://doi.org/10.1016/j.esmoop.2024.103626

Silva, R.B., Cheng, B., Carvajal, R.D. and Lee, S.M. (2024), Dose Individualization for Phase I Cancer Trials With Broadened Eligibility. Statistics in Medicine, 43: 5534-5547. https://doi.org/10.1002/sim.10264

Seonjoo Lee

Abuaish, S., Babineau, V., Lee, S., Tycko, B., Champagne, F. A., Werner, E., & Monk, C. (2025). Maternal high BMI: Sex-dimorphic alterations in maternal and offspring stress indices. Psychoneuroendocrinology, 171, 107196. https://doi.org/10.1016/j.psyneuen.2024.107196

Hammond, J., Sahni, R., Grieve, P., Isler, J., Werner, E., Ostlund, B., Alschuler, D., Lee, S., & Monk, C. (2024). Differences Between Preterm and Full-Term Infants in Electroencephalogram Power Spectral Density Slope. Developmental psychobiology, 66(8), e70001. https://doi.org/10.1002/dev.70001

Spann, M. N., Bansal, R., Aydin, E., Pollatou, A., Alleyne, K., Bennett, M., Sawardekar, S., Delapenha, K., Cheng, B., Lee, S., Monk, C., & Peterson, B. S. (2024). Maternal prenatal immune activation associated with brain tissue microstructure and metabolite concentrations in newborn infants. Brain, behavior, and immunity, 122, 279–286. https://doi.org/10.1016/j.bbi.2024.08.025

Grubb, M. D., Wilson, C. A., Zhang, Z., Liu, G., Lee, S., Monk, C., & Werner, E. A. (2024). Practical Resources for effective postpartum parenting (PREPP): A randomized controlled trial of a novel parent-infant dyadic intervention to reduce symptoms of postpartum depression. American Journal of Obstetrics & Gynecology MFM, 6(12), 101526. https://doi.org/10.1016/j.ajogmf.2024.101526

Devanand, D. P., Lee, S., Luchsinger, J. A., Knopman, D., Vassilaki, M., & Motter, J. N. (2024). Comparison of brief olfactory and cognitive assessments to neuroimaging biomarkers in the prediction of cognitive decline and dementia in the MCSA cohort. Alzheimer's & dementia : the journal of the Alzheimer's Association, 10.1002/alz.14261. Advance online publication. https://doi.org/10.1002/alz.14261

Hunsberger, H. C., Lee, S., Jin, M., Lanio, M., Whye, A., Cha, J., Scarlata, M., Matthews, L. C., Jayaseelan, K., Denny, C. A., & Alzheimer’s Disease Neuroimaging Initiative (2024). Sex-Specific Effects of Anxiety on Cognition and Activity-Dependent Neural Networks: Insights From (Female) Mice and (Wo)men. Biological psychiatry, S0006-3223(24)01621-4. Advance online publication. https://doi.org/10.1016/j.biopsych.2024.09.016

Lee, I., Vestrucci, M., Lee, S., Rosenbaum, M., & Mitsumoto, H. (2024). Blood glycated hemoglobin level is not associated with disease progression in amyotrophic lateral sclerosis. Amyotrophic lateral sclerosis & frontotemporal degeneration, 1–5. Advance online publication. https://doi.org/10.1080/21678421.2024.2407409

Firestein, M. R., Manessis, A., Warmingham, J. M., Xu, R., Hu, Y., Finkel, M. A., Kyle, M., Hussain, M., Ahmed, I., Lavallée, A., Solis, A., Chaves, V., Rodriguez, C., Goldman, S., Muhle, R. A., Lee, S., Austin, J., Silver, W. G., O'Reilly, K. C., Bain, J. M., … Dumitriu, D. (2024). Positive Autism Screening Rates in Toddlers Born During the COVID-19 Pandemic. JAMA network open, 7(9), e2435005. https://doi.org/10.1001/jamanetworkopen.2024.35005

Kim, H., Lee, S., Levine, A., Huber, B., Andrews, H., Kerner, N. A., Cohen, D., Carlson, S., Bell, S. A., Rivera, A. M., Gordon, M. L., Simoes, S., Devanand, D. P., Brickman, A. M., Schneider, L. S., Harvey, P. D., & Goldberg, T. E. (2024). Novel measures of cognition and function for the AD spectrum in the Novel Measures for Alzheimer's Disease Prevention Trials (NoMAD) project: Psychometric properties, convergent validation, and contrasts with established measures. Alzheimer's & dementia : the journal of the Alzheimer's Association, 20(8), 5089–5101. https://doi.org/10.1002/alz.13757

Dye, C. K., Alschuler, D. M., Wu, H., Duarte, C., Monk, C., Belsky, D. W., Lee, S., O'Donnell, K., Baccarelli, A. A., & Scorza, P. (2024). Maternal Adverse Childhood Experiences and Biological Aging During Pregnancy and in Newborns. JAMA network open, 7(8), e2427063. https://doi.org/10.1001/jamanetworkopen.2024.27063

Goldberg, T. E., Devanand, D. P., Fang, Z., Kim, H., Rueppel, E., Tucker, A., Carlson, S., & Lee, S. (2024). Effects of APOE ε4 and Neuropathological Diagnoses on Neuropsychiatric Symptoms: Mediation Analyses and Likely Causation in an Integrated National Alzheimer's Coordinating Center Database. Biological psychiatry. Cognitive neuroscience and neuroimaging, 9(7), 650–659. https://doi.org/10.1016/j.bpsc.2024.01.012

Lee, I., Mitsumoto, H., Lee, S., Kasarskis, E., Rosenbaum, M., Factor-Litvak, P., & Nieves, J. W. (2024). Reply to Glycemic Index/Load Effect on ALS Progression: Potential Interaction with Riluzole. Annals of neurology, 96(1), 208–209. https://doi.org/10.1002/ana.26971

Dai, R., Li, R., Lee, S., & Liu, Y. (2024). Controlling false discovery rate for mediator selection in high-dimensional data. Biometrics, 80(3). https://doi.org/10.1093/biomtc/ujae064

Zhang, A., Wengler, K., Zhu, X., Horga, G., Goldberg, T. E., Lee, S., & Alzheimer’s Disease Neuroimaging Initiative (2023). Altered hierarchical gradients of intrinsic neural timescales in mild cognitive impairment and Alzheimer's disease. bioRxiv : the preprint server for biology, 2023.09.26.559549. https://doi.org/10.1101/2023.09.26.559549

Li, R., Zhu, X., & Lee, S. (2024). Model selection for exposure-mediator interaction. Data Science in Science, 3(1). https://doi.org/10.1080/26941899.2024.2360892

Cohen, D. E., Kim, H., Levine, A., Devanand, D. P., Lee, S., & Goldberg, T. E. (2023). Effects of age on the relationship between sleep quality and cognitive performance: Findings from the Human Connectome Project-Aging cohort. International psychogeriatrics, 1–11. Advance online publication. https://doi.org/10.1017/S1041610223000911

Kim, Y., Ravid, O., Zheng, X., Kim, Y., Neria, Y., Lee, S., He, X., & Zhu, X. (2024). Explaining deep learning-based representations of resting state functional connectivity data: Focusing on interpreting nonlinear patterns in autism spectrum disorder. Frontiers in Psychiatry, 15. https://doi.org/10.3389/fpsyt.2024.1397093

Coors, A., Lee, S., Habeck, C., & Stern, Y. (2024). Personality traits and cognitive reserve-High openness benefits cognition in the presence of age-related brain changes. Neurobiology of aging, 137, 38–46. https://doi.org/10.1016/j.neurobiolaging.2024.02.009

VanBronkhorst, S. B., McCormack, C. A., Scorza, P., Lee, S., Feng, T., Hane, A., Duarte, C. S., & Monk, C. (2024). Maternal childhood trauma and observed maternal care behaviors with 4-month-old infants. Psychological trauma : theory, research, practice and policy, 16(Suppl 1), S81–S87. https://doi.org/10.1037/tra0001554

Vriend, C., de Joode, N. T., Pouwels, P. J., Liu, F., Otaduy, M. C., Pastorello, B., Robertson, F. C., Ipser, J., Lee, S., Hezel, D. M., van Meter, P. E., Batistuzzo, M. C., Hoexter, M. Q., Sheshachala, K., Narayanaswamy, J. C., Venkatasubramanian, G., Lochner, C., Miguel, E. C., Reddy, Y. C., … van den Heuvel, O. A. (2024a). Age of onset of obsessive-compulsive disorder differentially affects white matter microstructure. Molecular Psychiatry, 29(4), 1033–1045. https://doi.org/10.1038/s41380-023-02390-8

Rossano, S. M., Johnson, A. S., Smith, A., Ziaggi, G., Roetman, A., Guzman, D., Okafor, A., Klein, J., Tomljanovic, Z., Stern, Y., Brickman, A. M., Lee, S., Kreisl, W. C., & Lao, P. (2024). Microglia measured by TSPO PET are associated with Alzheimer's disease pathology and mediate key steps in a disease progression model. Alzheimer's & dementia : the journal of the Alzheimer's Association, 20(4), 2397–2407. https://doi.org/10.1002/alz.13699

Coors, A., Lee, S., Gazes, Y., Gacheru, M., Habeck, C., & Stern, Y. (2024). Brain reserve affects the expression of cognitive reserve networks. Human brain mapping, 45(5), e26658. https://doi.org/10.1002/hbm.26658

Wengler, K., Baker, S. C., Velikovskaya, A., Fogelson, A., Girgis, R. R., Reyes-Madrigal, F., Lee, S., de la Fuente-Sandoval, C., Ojeil, N., & Horga, G. (2024). Generalizability and Out-of-Sample Predictive Ability of Associations Between Neuromelanin-Sensitive Magnetic Resonance Imaging and Psychosis in Antipsychotic-Free Individuals. JAMA psychiatry, 81(2), 198–208. https://doi.org/10.1001/jamapsychiatry.2023.4305

Lee, I., Mitsumoto, H., Lee, S., Kasarskis, E., Rosenbaum, M., Factor-Litvak, P., & Nieves, J. W. (2024). Higher Glycemic Index and Glycemic Load Diet Is Associated with Slower Disease Progression in Amyotrophic Lateral Sclerosis. Annals of neurology, 95(2), 217–229. https://doi.org/10.1002/ana.26825

Simon, S. S., Varangis, E., Lee, S., Gu, Y., Gazes, Y., Razlighi, Q. R., Habeck, C., & Stern, Y. (2024). In vivo tau is associated with change in memory and processing speed, but not reasoning, in cognitively unimpaired older adults. Neurobiology of aging, 133, 28–38. https://doi.org/10.1016/j.neurobiolaging.2023.10.001

Cheng-Shiun Leu

Accordino, M. K., Lee, S., Leu, C. S., Levin, B., Trivedi, M. S., Crew, K. D., Kalinsky, K., Raghunathan, R., Faheem, K., Harden, E., Taboada, A., de Oliveira, B. D., Larson, E., Franks, L., Honan, E., Law, C., & Hershman, D. L. (2024). Randomized adaptive selection trial of cryotherapy, compression therapy, and placebo to prevent taxane-induced peripheral neuropathy in patients with breast cancer. Breast cancer research and treatment, 204(1), 49–59. https://doi.org/10.1007/s10549-023-07172-y

Wetmore, J.B., Rodriguez, S., Caro, D.D., Caban, M., Uhlmann, W., Goldman, J., Leu, C.-S., Godinez, J.D., Camarillo, I.A., Ferber, R., Blasco, D., Lantigua, R.A., Abraido-Lanza, A., Chung, W.K., Roberts, J.S., Siegel, K., Ottman, R.:Designing and Implementing the IDEAL Study: A Randomized Clinical Trial of Genetic Risk Disclosure for Late-Onset Alzheimer’s Disease in an Urban, Latino Population Alzheimer's & Dementia: Translational Research & Clinical Interventions 2024 (in press)

Salvatore, M. M., Liu, Y., Peng, B., Hsu, H. Y., Saqi, A., Tsai, W. Y., Leu, C. S., & Jambawalikar, S. (2024). Comparison of lung cancer occurring in fibrotic versus non-fibrotic lung on chest CT. Journal of translational medicine, 22(1), 67. https://doi.org/10.1186/s12967-023-04645-y

Katchman, A. N., Zakharov, S. I., Bohnen, M. S., Sanchez Jimenez, A., Kushner, J. S., Yang, L., Chen, B. X., Nasari, A., Liu, G., Rabbani, D. E., Han, J., Leu, C. S., Pitt, G. S., & Marx, S. O. (2024). Augmented Cardiac Inotropy by Phosphodiesterase Inhibition Requires Phosphorylation of Rad and Increased Calcium Current. Circulation, 149(20), 1617–1620. https://doi.org/10.1161/CIRCULATIONAHA.123.067298

Marshall, O., Dous, E., Simpson, K., Leu, C. S., Han, J., Keating, C., & DiMango, E. (2024). Implementation of an Outpatient Clinical Pharmacy Service at an Adult Cystic Fibrosis Center. Journal of the American Pharmacists Association : JAPhA, 102270. Advance online publication. https://doi.org/10.1016/j.japh.2024.102270

Wu, W., Jin, Q., Östlund, C., Tanji, K., Shin, J. Y., Han, J., Leu, C. S., Kushner, J., & Worman, H. J. (2024). mTOR Inhibition Prolongs Survival and Has Beneficial Effects on Heart Function After Onset of Lamin A/C Gene Mutation Cardiomyopathy in Mice. Circulation. Heart failure, 17(4), e011110. https://doi.org/10.1161/CIRCHEARTFAILURE.123.011110

Lumsden, C. L., Edelstein, B. L., Leu, C. S., Zhang, J., Rubin, M. S., & Andrews, H. (2024). Change in parental knowledge and beliefs about early childhood dental caries following a pragmatic community-based trial. Journal of public health dentistry, 84(3), 251–259. https://doi.org/10.1111/jphd.12620

Heath, M.R., Fan, W., Leu, C.-S., Gomez-Simmonds, A., Lodise, T., Freedberg, D.E.: Gut Colonization with Multidrug Resistant Organisms in the Intensive Care Unit: A Systematic Review and Meta-Analysis. Critical Care 28, 211 (2024). https://doi.org/10.1186/s13054-024-04999-9

Zhonghua Liu

Yao, M., Miller, G.W., Vardarajan, B. N., Baccarelli, A. A., Guo, Z., & Liu, Z. (2024). Deciphering causal protein in Alzheimer’s disease: A novel Mendelian randomization method integrated with AlphaFold3 for 3D structure prediction. Cell Genomics, 4 (12), 100700. (To appear in December 2024) https://doi.org/10.1101/2023.02.20.23286200

Li, X., Chen, H., Selvaraj, M. S., Van Buren, E., Zhou, H., Wang, Y., Sun, R., McCaw, Z. R., Yu, Z., Arnett, D. K., Bis, J. C., Blangero, J., Boerwinkle, E., Bowden, D. W., Brody, J. A., Cade, B. E., Carson, A. P., Carlson, J. C., Chami, N., Chen, Y. I., Curran, J. E., de Vries, P. S., Fornage, M., Franceschini, N., Freedman, B. I., Gu, C., Heard-Costa, N. L., He, J., Hou, L., Hung, Y. J., Irvin, M. R., Kaplan, R. C., Kardia, S. L. R., Kelly, T., Konigsberg, I., Kooperberg, C., Kral, B. G., Li, C., Loos, R. J. F., Mahaney, M. C., Martin, L. W., Mathias, R. A., Minster, R. L., Mitchell, B. D., Montasser, M. E., Morrison, A. C., Palmer, N. D., Peyser, P. A., Psaty, B. M., Raffield, L. M., Redline, S., Reiner, A. P., Rich, S. S., Sitlani, C. M., Smith, J. A., Taylor, K. D., Tiwari, H., Vasan, R. S., Wang, Z., Yanek, L. R., Yu, B., Rice, K. M., Rotter, J. I., Peloso, G. M., Natarajan, P., Li, Z., Liu, Z., & Lin, X. (2024). A statistical framework for powerful multi-trait rare variant analysis in large-scale whole-genome sequencing studies. Nature Computational Science. (Accepted for publication). https://doi.org/10.1101/2023.10.30.564764

Liu, Q., Wang, Z., Li, X., Ji, X., Zhang, L., Liu, L., & Liu, Z. (2024). DNA-SE: Towards deep neural-nets assisted semiparametric estimation. Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR 235 :32041-32061. https://doi.org/10.48550/arXiv.2408.02045

Ye, T., Liu, Z., Sun, B., & Tchetgen Tchetgen, E. (2024). GENIUS-MAWII: For robust Mendelian randomization with many weak invalid instruments. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 86 (4), 1045–1067. https://doi.org/10.1093/jrsssb/qkae024

Wang, L., Babushkin, N., Liu, Z., & Liu, X. (2024). Trans-eQTL mapping in gene sets identifies network effects of genetic variants. Cell genomics, 4(4), 100538. https://doi.org/10.1016/j.xgen.2024.100538

Chuwdhury, G. S., Guo, Y., Chiang, C. L., Lam, K. O., Kam, N. W., Liu, Z., & Dai, W. (2024). ImmuneMirror: A machine learning-based integrative pipeline and web server for neoantigen prediction. Briefings in bioinformatics, 25(2), bbae024. https://doi.org/10.1093/bib/bbae024

Chen, Y., Fai Lam, K., & Liu, Z. (2024). High-dimensional feature screening for nonlinear associations with survival outcome using restricted mean survival time. Stat, 13 (2), e673.

Xu, M., Feng, R., Liu, Z., Zhou, X., Chen, Y., Cao, Y., Valeri, L., Li, Z., Liu, Z., Cao, S. M., Liu, Q., Xie, S. H., Chang, E. T., Jia, W. H., Shen, J., Yao, Y., Cai, Y. L., Zheng, Y., Zhang, Z., Huang, G., Ernberg, I., Tang, M., Ye, W., Adami, H. O., Zeng, Y. X., & Lin, X. (2024). Host genetic variants, Epstein-Barr virus subtypes, and the risk of nasopharyngeal carcinoma: Assessment of interaction and mediation. Cell genomics, 4(2), 100474. https://doi.org/10.1016/j.xgen.2023.100474

Liu, Y., Liu, Z., & Lin, X. (2024). Ensemble methods for testing a global null. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 86 (2), 461–486.

Xiao, W., Li, Y., Zhuang, Z., Song, Z., Wang, W., Huang, N., Dong, X., Jia, J., Liu, Z., Zhao, Y., Qi, L., & Huang, T. (2024). Effects of genetically proxied lipid-lowering drugs on acute myocardial infarction: a drug-target mendelian randomization study. Lipids in health and disease, 23(1), 163. https://doi.org/10.1186/s12944-024-02133-w

Wong, J. Y. Y., Blechter, B., Liu, Z., Shi, J., & Roger, V. L. (2024). Genetic susceptibility to chronic diseases leads to heart failure among Europeans: the influence of leukocyte telomere length. Human molecular genetics, 33(14), 1262–1272. https://doi.org/10.1093/hmg/ddae063

Zhuang, Z., Li, Y., Zhao, Y., Huang, N., Wang, W., Xiao, W., Du, J., Dong, X., Song, Z., Jia, J., Liu, Z., Clarke, R., Qi, L., & Huang, T. (2024). Genetically determined blood pressure, antihypertensive drug classes, and frailty: A Mendelian randomization study. Aging cell, 23(7), e14173. https://doi.org/10.1111/acel.14173

Zhao, J. V., Yao, M., & Liu, Z. (2024). Using genetics and proteomics data to identify proteins causally related to COVID-19, healthspan and lifespan: a Mendelian randomization study. Aging, 16(7), 6384–6416. https://doi.org/10.18632/aging.205711

Thomas, A., Ryan, C. P., Caspi, A., Liu, Z., Moffitt, T. E., Sugden, K., Zhou, J., Belsky, D. W., & Gu, Y. (2024). Diet, Pace of Biological Aging, and Risk of Dementia in the Framingham Heart Study. Annals of neurology, 95(6), 1069–1079. https://doi.org/10.1002/ana.26900

Xin Ma

Ma, X., & Kundu, S. (2024). Multi-Task Learning with High-Dimensional Noisy Images. Journal of the American Statistical Association, 119(545), 650–663. https://doi.org/10.1080/01621459.2022.2140052

Shah, A. J., Vaccarino, V., Goldberg, J., Huang, M., Ko, Y. A., Ma, X., ... & Bliwise, D. L. (2024). Posttraumatic stress disorder and obstructive sleep apnea in twins. JAMA Network Open, 7(6), e2416352-e2416352. doi:10.1001/jamanetworkopen.2024.16352

Chen, L., Ma, X., Herzberg, B., Henick, B., Biswas, A., Acharyya, S., & Shu, C. (2024). Weight Loss in Patients on Osimertinib for Metastatic EGFR-mutant NSCLC. Accepted by The Oncologist.

Daniel S. Malinsky

Khan, Z., Malinsky, D., Picard, M.,Cohen, A.A., CSOH Group, Wei, Y. (2024). Quantile graph discovery through QuACC: Quantile Association via Conditional Concordance. Submitted. https://doi.org/10.48550/arXiv.2411.17033

Chang, T-H., Guo, Z., Malinsky, D. (2024) Post-selection inference for causal effects after causal discovery. Submitted. https://doi.org/10.48550/arXiv.2405.06763

Malinsky, D. (2024) A cautious approach to constraint-based causal model selection. Submitted. https://doi.org/10.48550/arXiv.2404.18232

Rubinstein, M., Cuellar, M., Malinsky, D. (2024) Mediated probabilities of causation. Submitted. https://doi.org/10.48550/arXiv.2404.07397

Cohen, A.A., Picard, M., Beard, J.R., Belsky, D.W., Herbstman, J., Kuryla, C. L., Liu, M., Makarem, N., Malinsky, D., Pei, S., Wei, Y., Fried, L.P. (2024) Intrinsic health as a foundation for a science of health. Submitted. OSF preprint https://doi.org/10.31219/osf.io/q7a84

Lovinsky-Desir, S., Hirsch, J. A., Hoffman, E. A., Allen, N. B., Bertoni, A. G., Guo, J., Jacobs, D. R., Jr, Laine, A. F., Malinsky, D., Michos, E. D., Sack, C., Shen, W., Watson, K. E., Wysoczanski, A., Barr, R. G., & Smith, B. M. (2024). Indices of Childhood Socioeconomic Status and Dysanapsis among Older Adults: The Multi-Ethnic Study of Atherosclerosis Lung Study. Annals of the American Thoracic Society, 21(9), 1338–1342. https://doi.org/10.1513/AnnalsATS.202401-006RL

Cerna-Turoff, I., Casey, J. A., Keyes, K., Rudolph, K. E., & Malinsky, D. (2024). Longitudinal patterns of natural hazard exposures and anxiety and depression symptoms among young adults in four low- and middle-income countries. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-60106-6

Buschur, K. L., Pottinger, T. D., Vogel-Claussen, J., Powell, C. A., Aguet, F., Allen, N. B., Ardlie, K., Bluemke, D. A., Durda, P., Hermann, E. A., Hoffman, E. A., Lima, J. A. C., Liu, Y., Malinsky, D., Manichaikul, A., Motahari, A., Post, W. S., Prince, M. R., Rich, S. S., Rotter, J. I., … Barr, R. G. (2024). Peripheral Blood Mononuclear Cell Gene Expression Associated with Pulmonary Microvascular Perfusion: The Multi-Ethnic Study of Atherosclerosis Chronic Obstructive Pulmonary Disease. Annals of the American Thoracic Society, 21(6), 884–894. https://doi.org/10.1513/AnnalsATS.202305-417OC

S. Joshi, I. Urteaga, W.A.C. van Amsterdam, G. Hripcsak, P. Elias, B. Recht, N. Elhadad, J. Fackler, M. Sendak, J. Wiens, K. Deshpande, Y. Wald, M. Fiterau, Z. Lipton, D. Malinsky, M. Nayan, H. Namkoong, S. Park, J.E. Vogt, R. Ranganath (2024) “AI as an intervention: improving clinical outcomes relies on a causal approach to development and validation of AI” Accepted at Journal of the American Medical Informatics Association.

Christine Marie Mauro

Presskreischer, R., Mojtabai, R., Mauro, C., Zhang, Z., Wall, M., & Olfson, M. (2024). Medicaid expansion and medications to treat opioid use disorder in outpatient specialty care from 2010 to 2020. Journal of substance use and addiction treatment, 168, 209568. Advance online publication. https://doi.org/10.1016/j.josat.2024.209568

Williams, A. R., Mauro, C. M., Chiodo, L., Huber, B., Cruz, A., Crystal, S., Samples, H., Nowels, M., Wilson, A., Friedmann, P. D., Remien, R. H., & Olfson, M. (2024). Buprenorphine treatment and clinical outcomes under the opioid use disorder cascade of care. Drug and alcohol dependence, 263, 112389. https://doi.org/10.1016/j.drugalcdep.2024.112389

Mannes, Z. L., Nowels, M., Mauro, C., Cook, S., Wheeler-Martin, K., Gutkind, S., Bruzelius, E., Doonan, S. M., Crystal, S., Davis, C. S., Samples, H., Hasin, D. S., Keyes, K. M., Rudolph, K. E., Cerdá, M., & Martins, S. S. (2024). The Combined Relationship of Prescription Drug Monitoring Program Enactment and Medical Cannabis Laws with Chronic Pain-Related Healthcare Visits. Journal of general internal medicine, 10.1007/s11606-024-09053-6. Advance online publication. https://doi.org/10.1007/s11606-024-09053-6

Gacheru, M., Mauro, C., Skritskaya, N., Alston, N., Reynolds III, C. F., Simon, N., ... & Shear, M. K. (2024). Exploring Differences in Presentation and Treatment Outcomes Between Black and White American Adults With Prolonged Grief Disorder. Cognitive and Behavioral Practice.https://doi.org/10.1016/j.cbpra.2024.05.004

Cerdá, M., Wheeler-Martin, K., Bruzelius, E., Mauro, C. M., Crystal, S., Davis, C. S., Adhikari, S., Santaella-Tenorio, J., Keyes, K. M., Rudolph, K. E., Hasin, D., & Martins, S. S. (2024). The role of prescription opioid and cannabis supply policies on opioid overdose deaths. American journal of epidemiology, kwae210. Advance online publication. https://doi.org/10.1093/aje/kwae210

Williams, A. R., Mauro, C. M., Huber, B., Chiodo, L., Crystal, S., Samples, H., & Olfson, M. (2024). Defining Discontinuation for Buprenorphine Treatment: Implications for Quality Measurement. The American journal of psychiatry, 181(5), 457–459. https://doi.org/10.1176/appi.ajp.20230808

Mauro, P. M., Gutkind, S., Askari, M. S., Hasin, D. S., Samples, H., Mauro, C. M., Annunziato, E. M., Boustead, A. E., & Martins, S. S. (2024). Associations between cannabis policies and state-level specialty cannabis use disorder treatment in the United States, 2004-2019. Drug and alcohol dependence, 257, 111113. https://doi.org/10.1016/j.drugalcdep.2024.111113

Segura, L. E., Levy, N. S., Mauro, C. M., Bruzelius, E., Mauro, P. M., Gutkind, S., ... & Martins, S. S. (2024). Gender Differences in Cannabis Outcomes After Recreational Cannabis Legalization: A United States Repeated Cross-sectional Study, 2008–2017. International Journal of Mental Health and Addiction, 1-17. http://dx.doi.org/10.1007/s11469-024-01271-7

Giovenco, D. P., Morrison, C. N., Mehranbod, C. A., Spillane, T. E., Easter, A. G., Hernández, D., Humphreys, D. K., Mauro, C. M., Kong, A. Y., & Branas, C. C. (2024). Impact and Equity of New York City's Tobacco Retail Reduction Initiative. American journal of preventive medicine, 66(2), 235–242. https://doi.org/10.1016/j.amepre.2023.10.004

Ian W. McKeague

Huang, T. J., Luedtke, A., & McKeague, I. W. (2023). Efficient Estimation of the Maximal Association between Multiple Predictors and a Survival Outcome. Annals of statistics, 51(5), 1965–1988. https://doi.org/10.1214/23-aos2313Preprint available at http://arxiv.org/abs/2112.10996. [online supplement of 87 pages.] (This paper appeared in published form at the beginning of 2024)

T.-J. Huang, A. Luedtke and I. W. McKeague. Survey of High-dimensional Regression with Survival Outcomes. To appear in: High Dimensional Data Science}, IISA Series on Statistics and Data Science, Springer, ed. Snigdhansu Chatterjee. In press (2024).

Chang, Hw., McKeague, I.W. Concurrent Functional Linear Regression Via Plug-in Empirical Likelihood. Sankhya A (2024). https://doi.org/10.1007/s13171-024-00369-3 Invited contribution for a special issue of The IndianJournal of Statistics, Sankhya -- Series A, in honor of the 100th anniversary of the birth of Ragu Raj Bahadur. In press (2024).

Sourander, A., Upadhyaya, S., Surcel, H. M., Hinkka-Yli-Salomäki, S., Cheslack-Postava, K., Silwal, S., McKeague, I. W., & Brown, A. S. (2024). Maternal vitamin D levels during pregnancy and offspring schizophrenia. Schizophrenia research, 270, 289–294. https://doi.org/10.1016/j.schres.2024.06.039

H.-W. Chang and I. W. McKeague. Empirical Likelihood in Functional Data Analysis. Invited article for Annual Review of Statistics and Its Application, in press (2024). https://doi.org/10.1146/annurev-statistics-112723-034225

Spann, M. N., Aydin, E., Cheslack-Postava, K., Sourander, A., Heinonen, E., McKeague, I. W., & Brown, A. S. (2024). Association between maternal C-reactive protein levels in pregnancy and growth trajectories of head circumference during the first year of postnatal life – a secondary data analysis of a case-control study on autism. Pediatrics & Neonatology. https://doi.org/10.1016/j.pedneo.2024.09.001

Huang, T. J., Liu, Z., & McKeague, I. W. (2024). Post-selection inference for high-dimensional mediation analysis with survival outcomes. arXiv preprint arXiv:2408.06517. https://arxiv.org/abs/2408.06517. Article for a special issue of ScandinavianJournal of Statistics in honor of Nils Hjort's 70th birthday

Caleb H. Miles

Isik, O. G., Junaid, S., Guo, L., Lackraj, D., Landau, R., Miles, C. H., Pennell, C., von Ungern Sternberg, B. S., Whitehouse, A. J. O., Li, G., & Ing, C. (2024). Behavioural and neuropsychological outcomes in children exposed in utero to maternal labour epidural analgesia. British journal of anaesthesia, 133(2), 334–343. https://doi.org/10.1016/j.bja.2024.02.036

Hartman, H. S., Kim, E., Carbone, S., Miles, C. H., & Reilly, M. P. (2024). Sex differences in the relationship between body composition and cardiac structure and function. European heart journal. Cardiovascular Imaging, jeae264. Advance online publication. https://doi.org/10.1093/ehjci/jeae264

Massa, A., Yang, Z., Tamashiro, R., Isik, O., Landau, R., Miles, C. H., Von Ungern-Sternberg, B. S., Whitehouse, A., Li, G., Pennell, C. E., & Ing, C. (2024). Mode of delivery and behavioral and neuropsychological outcomes in children at 10 years of age. Journal of perinatal medicine, 52(9), 1010–1019. https://doi.org/10.1515/jpm-2024-0188

Chung, R., Kurtzman, J.T., Joffe, B.I., Vila-Reyes, H., Miles, C.H., Decastro, G., Anderson, C.B., Wei, A.Z., Drake, C.G., McKiernan, J.M., & Lenis, A.T. (2024). Long-Term Oncologic Outcomes in Patients With Muscle Invasive Bladder Cancer Misclassified as Achieving a Complete Clinical Response to Neoadjuvant Chemotherapy. JU Open Plus. http://dx.doi.org/10.1097/JU9.0000000000000180

Ing, C., Silber, J. H., Lackraj, D., Olfson, M., Miles, C., Reiter, J. G., Jain, S., Chihuri, S., Guo, L., Gyamfi-Bannerman, C., Wall, M., & Li, G. (2024). Behavioural disorders after prenatal exposure to anaesthesia for maternal surgery. British journal of anaesthesia, 132(5), 899–910. https://doi.org/10.1016/j.bja.2024.01.025

R. Todd Ogden

Matheson, G. J., Zanderigo, F., Miller, J. M., Bartlett, E. A., Mann, J. J., & Ogden, R. T. (2024). PET Imaging of the Serotonin 1A Receptor in Major Depressive Disorder: Hierarchical Multivariate Analysis of [¹¹C]WAY100635 Overcomes Outcome Measure Discrepancies. bioRxiv : the preprint server for biology, 2024.03.12.584569. https://doi.org/10.1101/2024.03.12.584569

Goldenthal, A. R., Lieberman, E., Rizk, M. M., Ogden, R. T., Rubin-Falcone, H., Zanderigo, F., Huang, Y. Y., Min, E., Yuan, M., Milak, M., Sullivan, G. M., Sublette, M. E., Oquendo, M. A., Mann, J. J., & Miller, J. M. (2024). Relationships between serotonin 1A receptor DNA methylation, self-reported history of childhood abuse and gray matter volume in major depression. Journal of affective disorders, 367, 307–317. https://doi.org/10.1016/j.jad.2024.08.148

Park, H., Tarpey, T., Petkova, E., & Ogden, R.T. (2024). A high- dimensional single-index regression model for interactions between treatment and covariates. Statistical Papers 65, 4025–4056. https://doi.org/10.1007/s00362-024-01546-0

Xie, S., & Ogden, R. T. (2024). Functional support vector machine. Biostatistics (Oxford, England), 25(4), 1178–1194. https://doi.org/10.1093/biostatistics/kxae007

Yu, P., Zhao, K., Jiang, B., Petkova, E., Tarpey, T., & Ogden, R.T. (2024). Associations between EEG-defined subgroups and antidepressant response: A joint mixture of probabilistic multilinear principal component analysis modeling approach. Statistics and its Interface 17, 397–411. https://dx.doi.org/10.4310/23-SII780

Garcia, N., Rodrigues-Motta, M., Migon, H., Petkova, E., Tarpey, T., Ogden, R.T., Giordano, J., & Perez, M.M. (2024). Unsupervised Bayesian classification for models with scalar and functional co- variates. Journal of the Royal Statistical Society, Series C 73: 658–681. https://doi.org/10.48550/arXiv.2202.04037

Shieh, D., Matheson, G., & Ogden, R.T. (2024). Nonlinear mixed-effects modeling approach for simplified reference tissue model. IEEE Transactions on Biomedical Engineering 71: 1191–1196. https://doi.org/10.1109/TBME.2023.3330693

Bartlett, E. A., Lesanpezeshki, M., Anishchenko, S., Shkolnik, I., Ogden, R. T., Mann, J. J., Beylin, D., Miller, J. M., & Zanderigo, F. (2024). Dynamic Human Brain Imaging with a Portable PET Camera: Comparison to a Standard Scanner. Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 65(2), 320–326. https://doi.org/10.2967/jnumed.122.265309

Martina Pavlicova

Levin, F. R., Mariani, J. J., Pavlicova, M., Choi, C. J., Basaraba, C., Mahony, A. L., Brooks, D. J., Brezing, C. A., & Naqvi, N. (2024). Extended-Release Mixed Amphetamine Salts for Comorbid Adult Attention-Deficit/Hyperactivity Disorder and Cannabis Use Disorder: A Pilot, Randomized Double-Blind, Placebo-Controlled Trial. Journal of Attention Disorders, 28(11), 1467-1481. https://doi.org/10.1177/10870547241264675

Brezing, C. A., Sibai, M., Choi, C. J., Mitra, S., Mariani, J. J., Naqvi, N., … Pavlicova, M., Levin, F. R. (2023). Open-label pilot of lorcaserin (a serotonin 2C-receptor agonist) for cannabis use disorder. Journal of Substance Use, 29(4), 487–494. https://doi.org/10.1080/14659891.2023.2202760

McNeely, J., Wahle, A., Kline, M., Snyder, C., Wakeman, S. E., Wilens, T., ... Pavlicova, M., ... Hamilton, L. (2024). Substance Use Screening Rates and Screening Results Among Adult Primary Care Patients With Mental Health Conditions and Substance Use-Related Medical Conditions. Drug and Alcohol Dependence, 260, 110558. http://dx.doi.org/10.1016/j.drugalcdep.2023.110558

Opara, O., Ohrtman, K., Greiner, M., Shulman, M., Choo, T. H., Pavlicova, M., ... & Nunes, E. (2024). Patient Characteristics Associated With Retention on XR-NTX in the CTN-0051 Trial. Drug and Alcohol Dependence, 260, 110372. https://doi.org/10.1016/j.cct.2016.08.004

Carpenter, K. M., Choi, C. J., Basaraba, C., Pavlicova, M., Brooks, D. J., Brezing, C. A., Bisaga, A., Nunes, E. V., Mariani, J. J., & Levin, F. R. (2024). Mixed amphetamine salts–extended release (MAS-ER) as a behavioral treatment augmentation strategy for cocaine use disorder: A randomized clinical trial. Experimental and Clinical Psychopharmacology, 32(1), 112–127. https://doi.org/10.1037/pha0000676

Min Qian

Tang, V. F., Jiang, D., Kwok, J. Y., Qian, M., Yeung, D. Y., Chow, E. O., Choi, N. G., & Chou, K. L. (2024). Study protocol of a sequential, multiple assignment, randomised trial using an adaptive intervention to reduce loneliness among Chinese older adults in Hong Kong. BMJ Open, 14(8). https://doi.org/10.1136/bmjopen-2024-087245

Ishiguchi, H., Chen, Y., Huang, B., Gue, Y., Correa, E., Homma, S., Thompson, J. L., Qian, M., Lip, G. Y., & Abdul‐Rahim, A. H. (2024). Machine learning for stroke in heart failure with reduced ejection fraction but without atrial fibrillation: A post‐hoc analysis of the WARCEF trial. European Journal of Clinical Investigation. https://doi.org/10.1111/eci.14360

Gonzales, L., Saperstein, A. M., Qian, M., Gorecki, A., & Medalia, A. (2024). Psychiatric and functional correlates of stigma associated with cognitive impairment in schizophrenia. Psychiatry research, 342, 116233. https://doi.org/10.1016/j.psychres.2024.116233

Cai, B., Zhu, Y., Liu, D., Li, Y., Bueber, M., Yang, X., Luo, G., Su, Y., Grivel, M. M., Yang, L. H., Qian, M., Stone, W. S., & Phillips, M. R. (2024). Use of the Chinese version of the MATRICS Consensus Cognitive Battery to assess cognitive functioning in individuals with high risk for psychosis, first-episode schizophrenia and chronic schizophrenia: A systematic review and meta-analysis. The Lancet Regional Health - Western Pacific, 45, 101016. https://doi.org/10.1016/j.lanwpc.2024.101016

Qian, M., Motter, J., Deehan, E., Graff, J., Adhikari, A., Doraiswamy, P. M., Goldberg, T. E., & Devanand, D. P. (2024). Predictors of Improvement after Cognitive Training in Mild Cognitive Impairment: Insights from the Cognitive Training and Neuroplasticity in Mild Cognitive Impairment Trial. Alzheimer disease and associated disorders, 38(3), 227–234. https://doi.org/10.1097/WAD.0000000000000639

Adhikari, A., Nwosu, A., Qian, M., Hellegers, C., Devanand, D. P., & Doraiswamy, P. M. (2024). Characterizing Neighborhood Vulnerabilities in Mild Cognitive Impairment using the Environmental Justice Index. Journal of Alzheimer's disease reports, 8(1), 793–804. https://doi.org/10.3233/ADR-240020

Kainth, M. K., Sembajwe, G. N., Ahn, H., Qian, M., Carrington, M., Armellino, D., & Jan, S. (2024). Despite mandated primary series, health care personnel still hesitant about COVID-19 vaccine and immunizing children. Vaccine, 42(12), 3122–3133. https://doi.org/10.1016/j.vaccine.2024.04.028

Nwosu, A., Qian, M., Phillips, J., Hellegers, C. A., Rushia, S., Sneed, J., Petrella, J. R., Goldberg, T. E., Devanand, D. P., & Doraiswamy, P. M. (2024). Computerized Cognitive Training in Mild Cognitive Impairment: Findings in African Americans and Caucasians. The journal of prevention of Alzheimer's disease, 11(1), 149–154. https://doi.org/10.14283/jpad.2023.80

Motter, J. N., Rushia, S. N., Qian, M., Ndouli, C., Nwosu, A., Petrella, J. R., Doraiswamy, P. M., Goldberg, T. E., & Devanand, D. P. (2024). Expectancy Does Not Predict 18-month Treatment Outcomes with Cognitive Training in Mild Cognitive Impairment. The journal of prevention of Alzheimer's disease, 11(1), 71–78. https://doi.org/10.14283/jpad.2023.62

Romiti, G. F., Nabrdalik, K., Corica, B., Bucci, T., Proietti, M., Qian, M., Chen, Y., Thompson, J. L. P., Homma, S., Lip, G. Y. H., & WARCEF Investigators (2024). Diabetes mellitus in patients with heart failure and reduced ejection fraction: a post hoc analysis from the WARCEF trial. Internal and emergency medicine, 19(4), 931–939. https://doi.org/10.1007/s11739-024-03544-4

Corica, B., Romiti, G. F., Simoni, A. H., Mei, D. A., Bucci, T., Thompson, J. L. P., Qian, M., Homma, S., Proietti, M., Lip, G. Y. H., & WARCEF Investigators (2024). Educational status affects prognosis of patients with heart failure with reduced ejection fraction: A post-hoc analysis from the WARCEF trial. European journal of clinical investigation, 54(5), e14152. https://doi.org/10.1111/eci.14152

Xu, H., Wang, T., Miao, Y., Qian, M., Yang, Y., & Wang, S. (2024). MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification. Bioinformatics (Oxford, England), 40(1), btad757. https://doi.org/10.1093/bioinformatics/btad757

Deng, F., Bueber, M. A., Cao, Y., Tang, J., Bai, X., Cho, Y., Lee, J., Lin, Z., Yang, Q., Keshavan, M. S., Stone, W. S., Qian, M., Yang, L. H., & Phillips, M. R. (2024). Assessing social cognition in patients with schizophrenia and healthy controls using the reading the mind in the eyes test (RMET): a systematic review and meta-regression. Psychological medicine, 54(5), 847–873. https://doi.org/10.1017/S0033291723003501

Yifei Sun

Sheng, Y., & Sun, Y. (2024). Statistical inference for counting processes under shape heterogeneity. Statistics in Medicine. https://doi.org/10.1002/sim.10280

Akinmolayemi, O., Sun, Y., McClelland, R. L., Bancks, M. P., Post, W. S., Szklo, M., Qu, W., Heckbert, S. R., & Shea, S. (2024). Racial Disparities in Incident and Recurrent Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis. American journal of epidemiology, kwae399. Advance online publication. https://doi.org/10.1093/aje/kwae399

Bhatt, S. P., Wu, C., Sun, Y., Balte, P. P., Schwartz, J. E., Divo, M. J., Jaeger, B. C., Chaves, P. H., Couper, D., Jacobs, D. R., Lloyd-Jones, D., Kalhan, R., Newman, A. B., O’Connor, G. T., Umans, J. G., White, W. B., Yende, S., & Oelsner, E. C. (2024). Low lung function is associated with high population attributable fraction for cardiovascular mortality. Annals of the American Thoracic Society. https://doi.org/10.1513/annalsats.202407-715oc

Hermann, E. A., Sun, Y., Hoffman, E., Allen, N., Ambale-Venkatesh, B., Bluemke, D. A., Jeffrey Carr, J., Kawut, S. M., Prince, M. R., Shah, S. J., Smith, B. M., Watson, K. E., Lima, J. A. C., & Barr, R. G. (2024). Lung Structure and Longitudinal Change in Cardiac Structure and Function: The MESA COPD Study. The European respiratory journal, 2400820. Advance online publication. https://doi.org/10.1183/13993003.00820-2024

Sheng, Y., Sun, Y., McCulloch, C. E., & Huang, C.-Y. (2024). Scalable estimation for high velocity survival data able to accommodate addition of covariates. Statistica Sinica. https://doi.org/10.5705/ss.202022.0028

Oelsner, E. C., Sun, Y., Balte, P. P., Allen, N. B., Andrews, H., Carson, A., Cole, S. A., Coresh, J., Couper, D., Cushman, M., Daviglus, M., Demmer, R. T., Elkind, M. S. V., Gallo, L. C., Gutierrez, J. D., Howard, V. J., Isasi, C. R., Judd, S. E., Kanaya, A. M., Kandula, N. R., … Post, W. S. (2024). Epidemiologic Features of Recovery From SARS-CoV-2 Infection. JAMA network open, 7(6), e2417440. https://doi.org/10.1001/jamanetworkopen.2024.17440

Kim, J. S., Sun, Y., Balte, P., Cushman, M., Boyle, R., Tracy, R. P., Styer, L. M., Bell, T. D., Anderson, M. R., Allen, N. B., Schreiner, P. J., Bowler, R. P., Schwartz, D. A., Lee, J. S., Xanthakis, V., Doyle, M. F., Regan, E. A., Make, B. J., Kanaya, A. M., Wenzel, S. E., … Oelsner, E. C. (2024). Demographic and Clinical Factors Associated With SARS-CoV-2 Spike 1 Antibody Response Among Vaccinated US Adults: the C4R Study. Nature communications, 15(1), 1492. https://doi.org/10.1038/s41467-024-45468-9

Tong, J., Luo, C., Sun, Y., Duan, R., Saine, M. E., Lin, L., Peng, Y., Lu, Y., Batra, A., Pan, A., Wang, O., Li, R., Marks-Anglin, A., Yang, Y., Zuo, X., Liu, Y., Bian, J., Kimmel, S. E., Hamilton, K., Cuker, A., … Chen, Y. (2024). Confidence score: a data-driven measure for inclusive systematic reviews considering unpublished preprints. Journal of the American Medical Informatics Association : JAMIA, 31(4), 809–819. https://doi.org/10.1093/jamia/ocad248

Dugue, R., Kim, C., Boruah, A., Harrigan, E., Sun, Y., & Thakur, K. T. (2024). Time to Confirmed Neuroinfectious Diagnoses: Diagnostic Testing and Resource Allocation. The Neurohospitalist, 14(3), 296–300. https://doi.org/10.1177/19418744241242957

Boubour, A., Kim, C. Y., Torres, S., Jia, D. T., Hess, E., Liu, S., Sun, Y., Fong, K., Epstein, S., Yan, H., Luche, N., Gao, K., Glassberg, B., Harmon, M., Hoang, H., Navis, A., Schorr, E., Gofshteyn, J. S., Yeshokumar, A. K., & Thakur, K. T. (2024). Sociodemographic and Clinical Factors Associated With Clinical Outcome in Neuroinfectious Diseases: A Multicenter Retrospective Cohort Study. The Neurohospitalist, 14(4), 396–405. https://doi.org/10.1177/19418744241263138

John L. P. (Seamus) Thompson

Ishiguchi, H, Chen, Y., Huang, B., Gue, Y., Correa, E., Homma, S., Thompson, J. L. P., Lip, G. Y., & Abdul-Rahim, A. H. (2024). Machine learning identification of risk factors for ischaemic stroke in patients with heart failure with reduced ejection fraction but without atrial fibrillation: A report from warcef trial. European Heart Journal, 45(Supplement_1). https://doi.org/10.1093/eurheartj/ehae666.2307

Romiti, G. F., Nabrdalik, K., Corica, B., Bucci, T., Proietti, M., Qian, M., Chen, Y., Thompson, J. L. P., Homma, S., Lip, G. Y. H., & WARCEF Investigators (2024). Diabetes mellitus in patients with heart failure and reduced ejection fraction: a post hoc analysis from the WARCEF trial. Internal and emergency medicine, 19(4), 931–939. https://doi.org/10.1007/s11739-024-03544-4

Sparks, J., Michelassi, F., Thompson, J. L. P., Buchsbaum, R., Pires, N., DeRosa, J. T., Engelstad, K., DiMauro, S., Akman, H. O., & Hirano, M. (2024). A United States-based patient-reported adult polyglucosan body disease registry: initial results. Therapeutic advances in rare disease, 5, 26330040241227452. https://doi.org/10.1177/26330040241227452

Corica, B., Romiti, G. F., Simoni, A. H., Mei, D. A., Bucci, T., Thompson, J. L. P., Qian, M., Homma, S., Proietti, M., Lip, G. Y. H., & WARCEF Investigators (2024). Educational status affects prognosis of patients with heart failure with reduced ejection fraction: A post-hoc analysis from the WARCEF trial. European journal of clinical investigation, 54(5), e14152. https://doi.org/10.1111/eci.14152

Linda Valeri

Savin, M.J., Wang, H., Pei, H, Aiello, A.E., Assuras, S., Caspi, A., Moffit, T.E., Muenning, C.P., Ryan, C.P., Shi, B., Stern, Y., Sugden, K., Valeri, L., Belsky, D.W. (2024). Faster DunedinPACE, an epigenetic clock for pace of biological aging, is associated with accelerated cognitive aging among older adults in the Framingham Heart Study. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 16(4), e70038. https://doi.org/10.1002/dad2.70038

Asaoka, H., Watanabe, K., Miyamoto, Y. et al. (2024). Association of depressive symptoms with incidence and mortality rates of COVID-19 over 2 years among healthcare workers in 20 countries: multi-country serial cross-sectional study. BMC Med 22, 386 https://doi.org/10.1186/s12916-024-03585-8

Wang, Z., Shi, B., Proust-Lima, C., Jacqmin-Gadda, H., & Valeri, L. (2025). Multistate approach for stochastic interventions on a time-to-event mediator in the presence of competing risks: A new R command within the CMAverse R package. Epidemiology (Cambridge, Mass.), 36(1), 139–140. https://doi.org/10.1097/EDE.0000000000001791

Valeri, L., Cai, X., Rahimi Eichi, H., Liebenthal, E., Rauch, S. L., Ongur, D., Schutt, R., Dixon, L., Onnela, J.-P., & Baker, J. (2024). Smartphone-based markers of social connectivity in schizophrenia and bipolar disorder. NPP—Digital Psychiatry and Neuroscience, 2(1). https://doi.org/10.1038/s44277-024-00013-w

Fowler, C., Cai, X., Baker, J. T., Onnela, J.-P., & Valeri, L. (2024). Testing unit root non-stationarity in the presence of missing data in univariate time series of Mobile Health Studies. Journal of the Royal Statistical Society Series C: Applied Statistics, 73(3), 755–773. https://doi.org/10.1093/jrsssc/qlae010

Domingo-Relloso, A., Tellez-Plaza, M., & Valeri, L. (2024). Methods for the Analysis of Multiple Epigenomic Mediators in Environmental Epidemiology. Current environmental health reports, 11(2), 109–117. https://doi.org/10.1007/s40572-024-00436-9

Wan, Z., Chibnik, L. B., Valeri, L., Hughes, T. M., Blacker, D., & Ma, Y. (2024). DNA Methylation Mediates the Association Between Cardiometabolic Risk Factors and Cognition: Findings From the Health and Retirement Study. The journals of gerontology. Series A, Biological sciences and medical sciences, 79(8), glae167. https://doi.org/10.1093/gerona/glae167

Amsalem, D., Jankowski, S. E., Pagdon, S., Smith, S., Yang, L. H., Valeri, L., Markowitz, J. C., Lewis-Fernández, R., & Dixon, L. B. (2024). "It's Tough to Be a Black Man with Schizophrenia": Randomized Controlled Trial of a Brief Video Intervention to Reduce Public Stigma. Schizophrenia bulletin, 50(3), 695–704. https://doi.org/10.1093/schbul/sbae019

van der Heide, F. C. T., Valeri, L., Dugravot, A., Danilevicz, I., Landre, B., Kivimaki, M., Sabia, S., & Singh-Manoux, A. (2024). Role of cardiovascular health factors in mediating social inequalities in the incidence of dementia in the UK: two prospective, population-based cohort studies. EClinicalMedicine, 70, 102539. https://doi.org/10.1016/j.eclinm.2024.102539

Ananth, C. V., Lee, R., Valeri, L., Ross, Z., Graham, H. L., Khan, S. P., Cabrera, J., Rosen, T., & Kostis, W. J. (2024). Placental Abruption and Cardiovascular Event Risk (PACER): Design, data linkage, and preliminary findings. Paediatric and perinatal epidemiology, 38(3), 271–286. https://doi.org/10.1111/ppe.13039

Burris, H. H., Yang, N., Riis, V., Valeri, L., South, E. C., Ravel, J., & Elovitz, M. A. (2024). The role of neighborhood deprivation in the cervicovaginal microbiota. American journal of obstetrics & gynecology MFM, 6(3), 101291. https://doi.org/10.1016/j.ajogmf.2024.101291

Schildroth, S., Valeri, L., Kordas, K., Shi, B., Friedman, A., Smith, D., Placidi, D., Wright, R. O., Lucchini, R. G., White, R. F., Horton, M., & Claus Henn, B. (2024). Assessing the mediating role of iron status on associations between an industry-relevant metal mixture and verbal learning and memory in Italian adolescents. Science of The Total Environment, 906, 167435. https://doi.org/10.1016/j.scitotenv.2023.167435

Xu, M., Feng, R., Liu, Z., Zhou, X., Chen, Y., Cao, Y., Valeri, L., Li, Z., Liu, Z., Cao, S. M., Liu, Q., Xie, S. H., Chang, E. T., Jia, W. H., Shen, J., Yao, Y., Cai, Y. L., Zheng, Y., Zhang, Z., Huang, G., … Lin, X. (2024). Host genetic variants, Epstein-Barr virus subtypes, and the risk of nasopharyngeal carcinoma: Assessment of interaction and mediation. Cell genomics, 4(2), 100474. https://doi.org/10.1016/j.xgen.2023.100474

Domingo-Relloso, A., McGraw, K. E., Heckbert, S. R., Luchsinger, J. A., Schilling, K., Glabonjat, R. A., Martinez-Morata, I., Mayer, M., Liu, Y., Wood, A. C., Goldsmith, J., Hayden, K. M., Habes, M., Nasrallah, I. M., Bryan, R. N., Rashid, T., Post, W. S., Rotter, J. I., Palta, P., Valeri, L., … Navas-Acien, A. (2024). Urinary Metal Levels, Cognitive Test Performance, and Dementia in the Multi-Ethnic Study of Atherosclerosis. JAMA network open, 7(12), e2448286. https://doi.org/10.1001/jamanetworkopen.2024.48286

Martinez-Morata, I., Schilling, K., Glabonjat, R. A., Domingo-Relloso, A., Mayer, M., McGraw, K. E., Galvez Fernandez, M., Sanchez, T. R., Nigra, A. E., Kaufman, J. D., Vaidya, D., Jones, M. R., Bancks, M. P., Barr, R. G., Shimbo, D., Post, W. S., Valeri, L., Shea, S., & Navas-Acien, A. (2024). Association of urinary metals with cardiovascular disease incidence and all-cause mortality in the multi-ethnic study of atherosclerosis (MESA). Circulation, 150(10), 758–769. https://doi.org/10.1161/circulationaha.124.069414

McGraw, K. E., Schilling, K., Glabonjat, R. A., Galvez-Fernandez, M., Domingo-Relloso, A., Martinez-Morata, I., Jones, M. R., Nigra, A., Post, W. S., Kaufman, J., Tellez-Plaza, M., Valeri, L., Brown, E. R., Kronmal, R. A., Barr, R. G., Shea, S., Navas-Acien, A., & Sanchez, T. R. (2024). Urinary Metal Levels and Coronary Artery Calcification: Longitudinal Evidence in the Multi-Ethnic Study of Atherosclerosis. Journal of the American College of Cardiology, 84(16), 1545–1557. https://doi.org/10.1016/j.jacc.2024.07.020

Czepiel, D., McCormack, C., da Silva, A. T. C., Seblova, D., Moro, M. F., Restrepo-Henao, A., Martínez, A. M., Afolabi, O., Alnasser, L., Alvarado, R., Asaoka, H., Ayinde, O., Balalian, A., Ballester, D., Barathie, J. A. l., Basagoitia, A., Basic, D., Burrone, M. S., Carta, M. G., … Valeri, L.,van der Ven, E. (2024). Inequality on the frontline: A multi-country study on gender differences in mental health among healthcare workers during the COVID-19 pandemic. Cambridge Prisms: Global Mental Health, 11. https://doi.org/10.1017/gmh.2024.18

Cai, X., Zeng, L., Fowler, C.R., Dixon, L., Baker, J.T., Onnela, J.P., & Valeri, L. Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data. arXiv preprint. https://doi.org/10.48550/arXiv.2407.17666

Miles, C.H., Valeri, L., & Coull, B. Measurement Error-Robust Causal Inference via Constructed Instrumental Variables. arXiv preprint. https://doi.org/10.48550/arXiv.2406.00940

Le Bourdonnec, K., Valeri, L., & Proust-Lima, C. Continuous-time mediation analysis for repeatedly measured mediators and outcomes. arXiv e-print. arXiv-2403. https://doi.org/10.48550/arXiv.2403.11017

Mayer, M. N., Domingo-Relloso, A., Kioumourtzoglou, M. A., Navas-Acien, A., Coull, B., & Valeri, L. Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study. arXiv preprint. https://doi.org/10.48550/arXiv.2311.01484

Cai, X., Wang, X., Zeng, L., Eichi, H. R., Ongur, D., Dixon, L., ... & Valeri, L. State space model multiple imputation for missing data in non-stationary multivariate time series with application in digital Psychiatry. arXiv preprint. https://doi.org/10.48550/arXiv.2206.14343

Melanie Wall

Choo, T. H., Wall, M., Brodsky, B. S., Herzog, S., Mann, J. J., Stanley, B., & Galfalvy, H. (2024). Temporal prediction of suicidal ideation in an ecological momentary assessment study with recurrent neural networks. Journal of affective disorders, 360, 268–275. https://doi.org/10.1016/j.jad.2024.05.093 (co-advisor with Dr. Hanga Galfalvy of student Tse Choo)

Oquendo, M. A., Wall, M., Wang, S., Olfson, M., & Blanco, C. (2024). Lifetime Suicide Attempts in Otherwise Psychiatrically Healthy Individuals. JAMA psychiatry, 81(6), 572–578. https://doi.org/10.1001/jamapsychiatry.2023.5672

Kinslow, C. J., Kumar, P., Olfson, M., Wall, M. M., Petridis, P. D., Horowitz, D. P., Wang, T. J. C., Kachnic, L. A., Cheng, S. K., Prigerson, H. G., Yu, J. B., & Neugut, A. I. (2024). Prognosis and risk of suicide after cancer diagnosis. Cancer, 130(4), 588–596. https://doi.org/10.1002/cncr.35118

Olfson, M., McClellan, C., Zuvekas, S. H., Wall, M., & Blanco, C. (2024). Mental Health Impairment and Outpatient Mental Health Care of US Children and Adolescents. JAMA psychiatry, 81(6), 606–610. https://doi.org/10.1001/jamapsychiatry.2024.0088

Suglia, S. F., Knox, N., April-Sanders, A. K., Aguayo, L., López-Cepero, A., Cohall, A., Wang, S., Wall, M., Canino, G., Bird, H., & Duarte, C. S. (2024). Prevalence of cardiometabolic risk and health factors among Puerto Rican young adults in the Boricua Youth Study - Health Assessment. Annals of epidemiology, 89, 8–14. https://doi.org/10.1016/j.annepidem.2023.11.007

Luo, S. X., Feaster, D. J., Liu, Y., Balise, R. R., Hu, M. C., Bouzoubaa, L., Odom, G. J., Brandt, L., Pan, Y., Hser, Y. I., VanVeldhuisen, P., Castillo, F., Calderon, A. R., Rotrosen, J., Saxon, A. J., Weiss, R. D., Wall, M., & Nunes, E. V. (2024). Individual-Level Risk Prediction of Return to Use During Opioid Use Disorder Treatment. JAMA psychiatry, 81(1), 45–56. https://doi.org/10.1001/jamapsychiatry.2023.3596

Castillo, F., Harris, H. M., Lerman, D., Bisaga, A., Nunes, E. V., Zhang, Z., Wall, M., & Comer, S. D. (2024). Clinical Implications of the Relationship Between Naltrexone Plasma Levels and the Subjective Effects of Heroin in Humans. Journal of addiction medicine, 18(2), 110–114. https://doi.org/10.1097/ADM.0000000000001247

VanBronkhorst, S. B., Abraham, E., Dambreville, R., Ramos-Olazagasti, M. A., Wall, M., Saunders, D. C., Monk, C., Alegría, M., Canino, G. J., Bird, H., & Duarte, C. S. (2024). Sociocultural Risk and Resilience in the Context of Adverse Childhood Experiences. JAMA psychiatry, 81(4), 406–413. https://doi.org/10.1001/jamapsychiatry.2023.4900

Vriend, C., de Joode, N. T., Pouwels, P. J., Liu, F., Otaduy, M. C., Pastorello, B., Robertson, F. C., Ipser, J., Lee, S., Hezel, D. M., van Meter, P. E., Batistuzzo, M. C., Hoexter, M. Q., Sheshachala, K., Narayanaswamy, J. C., Venkatasubramanian, G., Lochner, C., Miguel, E. C., Reddy, Y. C., Wall, M., … van den Heuvel, O. A. (2024). Age of onset of obsessive-compulsive disorder differentially affects white matter microstructure. Molecular Psychiatry, 29(4), 1033–1045. https://doi.org/10.1038/s41380-023-02390-8

Shikun Wang

Manji, G. A., May, M., Chalabi, M. H., Pellicciotta, I., Sta Ana, S. I., Sender, N., Pan, S. S., Ross, I. V., Olive, K. P., Wang, S., Izar, B., White, R. A., Bates, S. E., & Raufi, A. G. (2024). Abstract PR05: Chemo4metpanc: Combination chemotherapy (Gemcitabine and NAB-paclitaxel), chemokine (C-X-C) motif receptor 4 inhibitor (motixafortide), and Immune Checkpoint Blockade (cemiplimab) in metastatic treatment-naïve pancreatic adenocarcinoma. Cancer Research, 84(2_Supplement). https://doi.org/10.1158/1538-7445.panca2023-pr05

Manji, Gulam Abbas, Labadie, B. W., Jamison, J. K., Wu, L., Wang, S., Pellicciotta, I., Sta Ana, S., Sender, N., Ross, I., Cho, H., Horowitz, D. P., & Chabot, J. A. (2024). AIRPanc: A phase 2, open-label, Multicenter, randomized study evaluating neoadjuvant therapy targeting the adenosine immunosuppressive pathway in combination with immune checkpoint blockade and radiation therapy in patients with advanced pancreatic ductal adenocarcinoma who are candidates for surgical resection. Journal of Clinical Oncology, 42(3_suppl). https://doi.org/10.1200/jco.2024.42.3_suppl.tps714

Wang, S., Ning, J., Xu, Y., Shih, Y. T., Shen, Y., & Li, L. (2024). Longitudinal varying coefficient single-index model with censored covariates. Biometrics, 80(1), ujad006. https://doi.org/10.1093/biomtc/ujad006

Song, W., Wang, S., & Wang, Y. (2025). Effect of network topology in consumer-resource systems with species’ dispersal and evolution. Communications in Nonlinear Science and Numerical Simulation, 140, 108444. https://doi.org/10.1016/j.cnsns.2024.108444

Song, W., Wang, S., Wang, Y., & DeAngelis, D. (2023). Resource-driven pattern formation in consumer-resource systems with asymmetric dispersal on a plane. SIAM Journal on Applied Mathematics, 84(3). https://doi.org/10.1137/22m1506006

Wu, Q., Wang, Y., Wang, S., & Wu, H. (2024). Agent-based pattern formation in a chemostat system with asymmetric dispersal. Nonlinear Analysis: Real World Applications, 78, 104075. https://doi.org/10.1016/j.nonrwa.2024.104075

Song, W., Wang, S., & Wang Y. (2024). Dispersal in prey–predator systems with prey’s fear and Predator’s adaptive search. Journal of Biological Systems, 32(01), 163–186. https://doi.org/10.1142/s0218339024500062

Wu, Q., Wang, Y., & Wang, S. (2024). Spatial dispersal in chemostat systems with agent-based asymmetry. Communications in Nonlinear Science and Numerical Simulation, 131, 107847. https://doi.org/10.1016/j.cnsns.2024.107847

Ulene, S., Wang, S., Cook, J., McAuley, F., Wooster, M., Faheem, K., McGuinness, J. E., Vasan, N., Trivedi, M. S., Crew, K. D., Harden, E., Law, C., Hershman, D. L., & Accordino, M. K. (2024). Continuous glucose monitoring and rates of hyperglycemia during chemotherapy for early-stage breast cancer. Journal of Clinical Oncology, 42(16_suppl). https://doi.org/10.1200/jco.2024.42.16_suppl.e24134

Beauchemin, M., Wooster, M., DeStephano, D., Harkins, S., Wang, S., Wright, J. D., Kahn, J., Accordino, M. K., & Hershman, D. L. (2024). Multilevel factors associated with delays to neoadjuvant chemotherapy among young adults with operable breast cancer. Journal of Clinical Oncology, 42(16_suppl), 11091–11091. https://doi.org/10.1200/jco.2024.42.16_suppl.11091

Wooster, M., DeStephano, D., Beauchemin, M. P., Wang, S., Hur, C., Wright, J. D., Hershman, D. L., & Accordino, M. K. (2024). Factors associated with delays in receipt of neoadjuvant chemotherapy in patients with operable breast cancer. JCO Oncology Practice, 20(10_suppl), 126–126. https://doi.org/10.1200/op.2024.20.10_suppl.126

Wooster, M., DeStephano, D., Beauchemin, M. P., Wang, S., Hur, C., Wright, J. D., Hershman, D. L., & Accordino, M. K. (2024b). Impact of delays in neoadjuvant chemotherapy initiation on pathologic complete response among patients with HER2-positive or triple negative breast cancer. JCO Oncology Practice, 20(10_suppl), 102–102. https://doi.org/10.1200/op.2024.20.10_suppl.102

Wooster, M., DeStephano, D., Beauchemin, M., Wang, S., Hur, C., Wright, J. D., Hershman, D. L., & Accordino, M. K. (2024c). Delays in receipt of neoadjuvant chemotherapy compared to upfront surgery in patients with operable breast cancer. Journal of Clinical Oncology, 42(16_suppl). https://doi.org/10.1200/jco.2024.42.16_suppl.e13561

Shuang Wang

Tian Wang, Bing Li, Huang Xu, Yuqi Miao, Min Qian, Shuang Wang (2025) “A reweighted random forest to predict health outcomes using human microbiome data”, Annals of Applied Statistics, accepted

Yuqi Miao, Huang Xu, Shuang Wang (2025) “PartIES: a disease subtyping framework with Partition-level Integration using diffusion-Enhanced Similarities from Multi-omics Data”, Briefings in Bioinformatics, accepted

Guo, J., Kiryluk, K., & Wang, S. (2024). PheW²P2V: a phenome-wide prediction framework with weighted patient representations using electronic health records. JAMIA open, 7(3), ooae084. https://doi.org/10.1093/jamiaopen/ooae084

Xu, H., Wang, T., Miao, Y., Qian, M., Yang, Y., & Wang, S. (2024). MK-BMC: a Multi-Kernel framework with Boosted distance metrics for Microbiome data for Classification. Bioinformatics (Oxford, England), 40(1), btad757. https://doi.org/10.1093/bioinformatics/btad757

Christos Symeonides, Kristina Vacy, Sarah Thomson, Sam Tanner, Nicole Rinehart, Bruce Tonge, Hui Kheng Chua, Toby Mansell, Boris Novakovic, Lea M Durham Delbridge, Shilpi Dixit, Christopher Reid, , Julie B Herbstman, Shuang Wang, Jia Guo, Jessalynn Chia, Feng Chen, Tae Hwan Kim, Gabriel B Bernasochi, Anthony El-Bitar, Vincent R Harley, Yann W Yap, Deborah Dewey, Peter Vuillermin, Chloe Love, David Burgner, Mimi LK Tang, Peter D Sly, Richard Saffery, Jochen F Mueller, the BIS Investigator Group, Anne-Louise Ponsonby, Wah Chin Boon (2024) Male autism spectrum disorder is linked to brain aromatase disruption by prenatal BPA in multimodal investigations and 10HDA ameliorates the related mouse phenotype, Nature Communication, 15(1): 6367 https://doi.org/10.1038/s41467-024-48897-8

Cheng, M., Conley, D., Kuipers, T., Li, C., Ryan, C. P., Taeubert, M. J., Wang, S., Wang, T., Zhou, J., Schmitz, L. L., Tobi, E. W., Heijmans, B., Lumey, L. H., & Belsky, D. W. (2024). Accelerated biological aging six decades after prenatal famine exposure. Proceedings of the National Academy of Sciences of the United States of America, 121(24), e2319179121. https://doi.org/10.1073/pnas.2319179121

Hidalgo-Gutierrez, A., Shintaku, J., Ramon, J., Barriocanal-Casado, E., Pesini, A., Saneto, R. P., Garrabou, G., Milisenda, J. C., Matas-Garcia, A., Gort, L., Ugarteburu, O., Gu, Y., Koganti, L., Wang, T., Tadesse, S., Meneri, M., Sciacco, M., Wang, S., Tanji, K., Horwitz, M. S., … Hirano, M. (2024). Guanylate Kinase 1 Deficiency: A Novel and Potentially Treatable Mitochondrial DNA Depletion/Deletions Disease. Annals of neurology, 96(6), 1209–1224. https://doi.org/10.1002/ana.27071

Hua, M., Guo, L., Ing, C., Lackraj, D., Wang, S., & Morrison, R. S. (2024). Specialist Palliative Care Use and End-of-Life Care in Patients With Metastatic Cancer. Journal of pain and symptom management, 67(5), 357–365.e15. https://doi.org/10.1016/j.jpainsymman.2024.01.029

Taeubert, M. J., Kuipers, T. B., Zhou, J., Li, C., Wang, S., Wang, T., Tobi, E. W., BBMRI-NL Metabolomics consortium, Belsky, D. W., Lumey, L. H., & Heijmans, B. T. (2024). Adults prenatally exposed to the Dutch Famine exhibit a metabolic signature associated with a broad spectrum of common diseases. medRxiv : the preprint server for health sciences, 2024.04.04.24305284. https://doi.org/10.1101/2024.04.04.24305284

Lau, K., Guo, J., Miao, Y., Ross, Z., Riley, K. W., Wang, S., Herbstman, J., & Perera, F. (2024). Major air pollution and climate policies in NYC and trends in NYC air quality 1998-2021. Frontiers in public health, 12, 1474534. https://doi.org/10.3389/fpubh.2024.1474534

Perera, F., Miao, Y., Ross, Z., Rauh, V., Margolis, A., Hoepner, L., Riley, K. W., Herbstman, J., & Wang, S. (2024). Prenatal exposure to air pollution during the early and middle stages of pregnancy is associated with adverse neurodevelopmental outcomes at ages 1 to 3 years. Environmental health : a global access science source, 23(1), 95. https://doi.org/10.1186/s12940-024-01132-9

Hua, M., Guo, L., Ing, C., Wang, S., & Morrison, R. S. (2024). Variation in Palliative Care Program Performance for Patients With Metastatic Cancer. Journal of pain and symptom management, S0885-3924(24)01095-9. Advance online publication. https://doi.org/10.1016/j.jpainsymman.2024.10.021

Zhou, J., Indik, C. E., Kuipers, T. B., Li, C., Nivard, M. G., Ryan, C. P., Tucker-Drob, E. M., Taeubert, M. J., Wang, S., Wang, T., Conley, D., Heijmans, B. T., Lumey, L. H., & Belsky, D. W. (2024). Genetic analysis of selection bias in a natural experiment: Investigating in-utero famine effects on elevated body mass index in the Dutch Hunger Winter Families Study. American journal of epidemiology, kwae376. Advance online publication. https://doi.org/10.1093/aje/kwae376

Yuanjia Wang

Guo, X., Zeng, D., & Wang, Y. (2024). A Semiparametric Inverse Reinforcement Learning Approach to Characterize Decision Making for Mental Disorders. Journal of the American Statistical Association, 119(545), 27–38. https://doi.org/10.1080/01621459.2023.2261184

Kim, S., Kim, Y. G., & Wang, Y. (2024). Temporal generative models for learning heterogeneous group dynamics of ecological momentary assessment data. Biometrics, 80(4), ujae115. https://doi.org/10.1093/biomtc/ujae115

Guo X, Zeng D, Wang Y (2024). HMM for discovering decision-making dynamics using reinforcement learning experiments. (2024). Biostatistics. In press. https://doi.org/10.1093/biostatistics/kxae033

Guo X, Yang B, Loh J, Wang Q, Wang Y (2024). A Hierarchical Random Effects State-space Model for Modeling Brain Activities from Electroencephalogram Data. Biometrics. In press. https://doi.org/10.1093/biomtc/ujae130

Chen, Y., Zeng, D., & Wang, Y. (2024). Optimizing personalized treatments for targeted patient populations across multiple domains. The international journal of biostatistics, 10.1515/ijb-2024-0068. Advance online publication. https://doi.org/10.1515/ijb-2024-0068

Lawrence, R. E., Bernstein, A., Jaffe, C., Zhao, Y., Wang, Y., & Goldberg, T. E. (2024). Eligibility for Substance Use Clinical Trials Among Emergency Psychiatry Patients: The Impact of Exclusion Criteria. Journal of dual diagnosis, 1–9. Advance online publication. https://doi.org/10.1080/15504263.2024.2377100

Shi B, Liu Y, Xie S, Zhu X, Wang Y. (2024) Network-Assisted Mediation Analysis with High- Dimensional Neuroimaging Mediators. In press. Proceedings of Machine Learning Research (PMLR). Machine Learning Conference on Healthcare. Toronto, Canada (peer-reviewed ma- chine learning conference with a healthcare focus).

McDonnell, E. I., Xie, S., Marder, K., Cui, F., & Wang, Y. (2024). Dynamic undirected graphical models for time-varying clinical symptom and neuroimaging networks. Statistics in medicine, 43(21), 4131–4147. https://doi.org/10.1002/sim.10143

Liu M, Wang Y, Fu H, Zeng D. (2024). Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls. Journal of Machine Learning Research. In press.

Xie W, Zeng D, Wang Y. (2024). Support vector machine for dynamic survival prediction with time-dependent covariates. Annals of Applied Statistics. 18(3) 2166 - 2186. https://doi.org/10.1214/24-AOAS1875

Xie, S., Zeng, D., & Wang, Y. (2024). Identifying temporal pathways using biomarkers in the presence of latent non-Gaussian components. Biometrics, 80(2), ujae033. https://doi.org/10.1093/biomtc/ujae033

Lawrence, R. E., Jaffe, C., Zhao, Y., Wang, Y., & Goldberg, T. E. (2024). Clinical Trials Studying Suicide Risk Reduction: Who is Excluded From Participation. Archives of suicide research : official journal of the International Academy for Suicide Research, 1–14. Advance online publication. https://doi.org/10.1080/13811118.2024.2322128

Xu, T., Chen, Y., Zeng, D., & Wang, Y. (2023). Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes. Journal of the American Statistical Association, 118(544), 2288–2300. https://doi.org/10.1080/01621459.2023.2225742

Lawrence RE, Bernstein A, Perez-Coste M, Zhao Y, Wang Y, Goldberg TE. (2024). Effec- tiveness trials in schizophrenia: Necessary. Sufficient? Ann Clin Psychiatry. In press.

Wang Q, Wang Y* (2024). Multi-Layer Exponential Family Factor Models for Integrative Anal- ysis and Learning Disease Progression. Biostatistics. 25(1): 203–219. Github.

Ghosh T, Ma Y, Zhu W, Wang Y. (2024). Learning non-monotone optimal individualized treatment regimes. Statistica Sinica. 34 (2024), 377-398.

Gao D, Wang Y, Zeng D. (2024). Fusing Individualized Treatment Rules Using Secondary Outcomes. Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR: Volume 238.

Xiao Wu

Weinberger, K. R., Veeravalli, N., Wu, X., Nassikas, N. J., Spangler, K. R., Joyce, N. R., & Wellenius, G. A. (2024). Long-term Impact of Tropical Cyclones on Disease Exacerbation Among Children with Asthma in the Eastern United States, 2000-2018. Epidemiology (Cambridge, Mass.), 35(3), 398–407. https://doi.org/10.1097/EDE.0000000000001728

Wu, X., Mealli, F., Kioumourtzoglou, M.A., Dominici, F. and Braun, D., 2024. Matching on generalized propensity scores with continuous exposures. Journal of the American Statistical Association, 119(545), pp.757-772. https://doi.org/10.48550/arXiv.1812.06575

Wu, X., Weinberger, K.R., Wellenius, G.A., Dominici, F. and Braun, D., 2024. Assessing the causal effects of a stochastic intervention in time series data: are heat alerts effective in preventing deaths and hospitalizations?. Biostatistics, 25(1), pp.57-79. https://doi.org/10.48550/arXiv.2102.10478