2021-2022 Graduate Catalog

EDPS 737 Statistical Analysis of Missing Data

Serves as a broad introduction to methods to address problematic data analysis situations, including missing data, outlier detection, nonequivalent experimental groups, and collinearity.  Examines theories underlying the various statistical methods, in conjunction with their application using the R software package. Prerequisite: EDPS 641 Min Grade C- or instructor permission.