STAT 7390: Missing Data and Imputation

3 Credit Hours
Prerequisite: STAT 7210 and DS 7120
This course is designed to introduce students to the technical concepts associated with missing data as well as conventional and advanced methods to handle missing data. The topics include missing at random, deletion techniques, imputation techniques, as well as maximum likelihood techniques and multiple imputation techniques. The course will also discuss complications that can arise with multiple imputations. The methods will be applied to real world datasets with guided exploration of the methods by the students.