Overview
Epidemiology & Biostatistics : Bayesian design and analysis with applications specifically geared towards epidemiological research. Topics may include multi-leveled hierarchical models, diagnostic tests, Bayesian sample size methods, issues in clinical trials, measurement error and missing data problems. Programming in R and WinBUGS.
Terms: Winter 2016
Instructors: Joseph, Lawrence (Winter)
Prerequisite(s): EPIB 682 or permission of the instructor.