Note: This is the 2023鈥�2024 eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or .
Visit Minerva > Student > Registration > Class Schedule for course dates & times.
Overview
Epidemiology & Biostatistics : The course has a conceptual and analytical causal inference perspective. The nature of specific study biases resulting in non-causal components in the observed association between exposure and outcome are discussed, including endogenous selection bias, measured and unmeasured confounding, and measurement error. Methods to recover the causal effect with such biases are presented. Causal mediation analysis is discussed. Models for survival analysis are discussed as well as the problem of- and some solutions to missing data. A brief overview of genetic epidemiology principles is covered.
Terms: Winter 2024
Instructors: Chevrier, Jonathan (Winter)
