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EPI 531 Missing Data Analysis

EPI 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 BIOST 531.

Line Number Section ID Credits Days/Times Room/Bldg Instructor
This course is not offered during the current quarter. For more info, please see the Epidemiology Course Planning Sheet at the link below.
For a complete listing of Epidemiology courses, their elective categories, and when they are typically offered, please see the Graduate Course Listing Page.