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Report is a call to action for biomedical research to rethink how it uses race and ethnicity.
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A Q&A with Daniel Malinsky, assistant professor of biostatistics.
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AI had difficulty replicating results for extracting information from clinical notes.
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Source:
Harvard CatalystIn 2015, Linda Valeri, PhD, was a young investigator with a doctorate in biostatistics from Harvard University and needed a lab to put her big ideas into motion.
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Latest News
- April 1, 2024
In a faculty Q&A, Assistant Professor of Biostatistics Wenpin Hou shares her research journey.
- March 26, 2024
GPT-4 can accurately interpret types of cells for single-cell RNA sequencing.
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- January 18, 2024
The event showed how data scientists are using emerging quantitative techniques to address public health challenges.
- January 17, 2024
Air pollution emissions have decreased substantially but the magnitude of change varies by demographics.
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- October 5, 2023
The inaugural Columbia Biostatistics Annual Research Symposium showcased new developments in the field
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- February 20, 2023
Answering complex research questions requires the right kind of analytical tools. One of the most powerful of these tools is Bayesian modeling. But what is it exactly, and what are its advantages?
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- February 9, 2023
Calorie restriction, a proven intervention to slow aging in animals, showed evidence of slowing the pace of biological aging in a human randomized trial.
- January 23, 2023
A daylong Data Science for Public Health Summit at Columbia University Mailman School of Public Health examined the critical and growing importance of emerging analytic tools.
- November 29, 2022
- September 30, 2022
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