Upcoming Events

episummer Intensive R for Epidemiologists - episummer   Course Description: This goal of this course is to introduce students to advanced data wrangling techniques, quantitative methods, and graphics using R. Students will be introduced to base R (including object types, indexing, and the apply family of functions) before moving into the Tidyverse.Heavy emphasis will be placed on the tidyverse suite of packages and functions for data manipulation and modeling, for more advanced applied epidemiologic analyses. Each session is a combination of didactic lecture and hands-on practice. Students will clean and analyze actual data sets, and learn the importance of data preparation and cleaning, how to visualize descriptive analyses, write their own functions, run regressions, and use R for advanced methods such as multiple imputation.

episummer Introduction to Meta-Analysis   Course Description Meta-Analysis is the process of synthesizing data from multiple studies to yield a more complete understanding of the effect. It is the core of evidence-based medicine and epidemiology. The goal of this course is to teach students how to perform a meta-analysis, to interpret the results properly, and to present the results in a manner that is clear and intuitive. The techniques that we discuss in these workshops are relevant to any field where a meta-analysis might be employed. Participants typically work in such fields as medicine, epidemiology, health sciences, biostatistics, nursing, veterinary medicine, psychology, education, criminal justice, ecology, marketing, among others. Basic course (20 hours) June 1-15 In the basic course we explain how to conduct and report the results for a meta-analysis. In an analysis where the effect size is consistent across studies the goal will be to identify that common effect size and consider the clinical implications of the findings. In an analysis where the effect size varies across studies the goal will be to identify the mean effect size and also to quantify the variation in effects and consider the clinical implications of this variation: Is it the case that the treatment's effect varies from moderate to large; or from minor to moderate; or is the treatment helpful in some cases but harmful in others?

episummer Introduction to Multi-Level Modeling   Course Description This course will provide an overview of the theory underlying the use of multi-level models, using a parametric framework, as well as teach the basic application of methods necessary to conduct and interpret multi-level analyses of epidemiologic data. After reviewing basic statistical and theoretical principles of linear and logistic regression models using only one level of organization, lecture and lab sessions will be focused on the use of random-effects models and generalized estimating equation (GEE) models for the analysis of data with two levels. Hands-on exercises will use data from an investigation of the influence of NYC neighborhoods on obesity, focusing on the application and interpretation of regression models that account for clustered observations and group-level covariates. STATA code will be provided for all exercises and participants will learn how to implement multi-level models. R and SAS code will also be provided.

episummer Successful Scientific Writing Course Description This course takes an active, participatory approach to learning how to communicate the findings of scientific research more effectively in writing to expedite the publication of peer-reviewed manuscripts. Over the course of four weeks, registrants will engage in problem solving and practical application of scientific writing skills. Specifically, registrants will critique actual published and unpublished manuscripts and complete a range of exercises that exemplify the real-world challenges that authors face. No prerequisites required.