Epidemiological Methods of Longitudinal and Time-to-Event Analyses.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisites: EPID 650 or EPID 571 ; STAT 643 or EPID 544; EPID 649 or EPID 548 . Enrollment is restricted to students in the Master of Public Health and Ph.D. in Epidemiology programs, or by permission of the instructor. The course will introduce students to advanced regression methods used to address research questions involving longitudinally collected data from an epidemiological perspective. The course content includes an introduction to standard analytical methods of longitudinal data and time-to-event outcomes as well as missing data in this study setting. Sample size and power calculations involved when using these methods will be presented. Causal inference framework within the longitudinal study setting will be briefly introduced. SAS, a statistical software package, will be used in all presented examples and class notes. The course will not cover statistical theories of longitudinal data and survival analyses. It is an applied course of those two methodological approaches.