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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 2018
Instructors: Joseph, Lawrence (Winter)
Prerequisite(s): EPIB 682 or permission of the instructor.
