Repeated measures and longitudinal data are ubiquitous in studies, research and applications. This course explores methods for repeated measures, longitudinal (time-series), and nested/hierarchical data in a detailed manner. These methods take account of correlations between measurements by allowing each individual in a study to serve as their own control.
Prerequisite: (STAT 203 or STAT 335 with a C- or better) and STAT 308 with a C- or better or permission of the instructor.
Outcomes: Students are expected to master the analysis and interpretation of repeated measures, longitudinal, mixed, and nested/hierarchical data; This includes effectively using R, SAS or other software for these data analyses.
Prerequisite: (STAT 203 or STAT 335 with a C- or better) and STAT 308 with a C- or better or permission of the instructor.
Outcomes: Students are expected to master the analysis and interpretation of repeated measures, longitudinal, mixed, and nested/hierarchical data; This includes effectively using R, SAS or other software for these data analyses.