BIOST 2065 - ANALYSIS OF INCOMPLETE DATA

Minimum Credits: 3
Maximum Credits: 3
This course will present missing-data problems in statistics and discuss nave methods such as complete-case analysis, available-case analysis and imputation; standard likelihood- based methods, theory and application of multiple imputation, data augmentation, Gibbs sampler, and some recently developed methodologies in the missing-data literature and related fields.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PREQ: BIOST 2049 and 2051 and 2061

Click here for class schedule information.

Add to Portfolio.

Close Window