COURSE DESCRIPTION: This course presents modern approaches to the analysis of longitudinal data. Topics include design of longitudinal studies, generalized linear models for correlated data (including generalized estimating equations, generalized linear mixed effects model), computational issues and methods for fitting models, and missing data issues. STATA statistical software will be used in the data analysis component of this course where the students will learn how to analyze and interpret linear models for repeated measure continuous and discrete.
REQUIRED MATERIALS: Garrett M. Fitzmaurice, Nan M. Laird, James H. Ware. Applied Longitudinal Analysis, Wiley; 2nd Ed. (August 30, 2011). (FLW).
PREREQUISITES: Clinical Research Summer Intensive; Multivariable Regression
STUDENT PREPARATION: N/A
SUITABLE FOR 1ST YEAR STUDENTS: No
UNIQUE TRAINING OFFERED IN THIS COURSE: N/A
STUDENT ASSESSMENTS: The course will involve both group work (GW) and homework assignments (HW) and a final exam
CREDIT HOURS: 2.0