BIOS 7533 - Analysis with Missing and Mis-specified Data (3 Credit Hours)

Lecture Hours: 3 Lab Hours: 0
This course is designed to provide the student with the basics of methods for analyzing data with missing data and mis-specified data. This course will cover the following topics: missing data in experiments, complete case analysis, weighted complete case analysis, available case analysis, single imputation methods such as mean, regression, last value varied forward, hot deck imputation, cold deck imputation, Bayes Imputation, Multiple imputation, and nonignorable missing data models.

Restriction(s): NO Undergraduate Level Students