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BIOSTAT 902 - Missing Data Analysis: Theory and Application

Description
Theory and application of missing data methodology, ad hoc methods, missing data mechanism, selection models, pattern mixture models, likelihood-based methods, multiple imputation, inverse probability weighting, sensitivity analysis. Prerequisites: Statistical Science 711, 721, and 732, or consent of instructor. Instructor: Allen
Attributes
Seminar Graduate/professional students only
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Recent Semesters
Fall 2018
Offered
MW
Avg. Class Size
20
Avg. Sections
1