School of Public Health

EPI 531 STATISTICAL METHODS FOR ANALYSIS WITH MISSING DATA

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 Epidemiology Course Planning Sheet