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
biost 531
BIOST 531 Statistical Methods for Analysis with Missing Data (3)

Line Number | Section ID | Credits | Times | Bldg/Room | Instructor |
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11663 | A | 3 |
Monday, Wednesday 1:00pm - 2:20pm
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SOCC 308 (SOCC) | Sadinle, Mauricio |
Line Number | Section ID | Credits | Times | Bldg/Room | Instructor |
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11716 | A | 3 |
Monday, Wednesday 10:30am - 11:50am
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SOCC 308 (SOCC) | Chan, KC Gary |