STAT 8390:Missing Data and Imputation

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: STAT 8210 and STAT 8020
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.