BIOST 531 Statistical Methods for Analysis with Missing Data (3)
Covers statistical methods for the analysis of missing data, including likelihood-based, weighted GEE, multiple imputation, and Bayesian approaches. Uses computational tools such as EM algorithm and Gibbs' sampler. Covers both ignorable and non-ignorable missing-data mechanisms as well as cross-sectional and longitudinal study designs. Primarily uses data arising from epidemiologic studies. Offered: jointly with EPI 531; Winter
Winter 2017
Line Number Section ID Credits Times Bldg/Room Instructor
11716 A 3
Monday, Wednesday 10:30am - 11:50am
SOCC 308 (SOCC) Chan, KC Gary