JSM 2015 Online Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details

CE_02C Sat, 8/8/2015, 8:30 AM - 5:00 PM S-Grand Ballroom D
Applied Longitudinal Analysis (ADDED FEE) — Professional Development Continuing Education Course
The goal of this course is to provide a broad introduction to statistical methods for analyzing longitudinal data. The emphasis is on the practical aspects of longitudinal analysis. I begin the course with a review of established methods for longitudinal data analysis when the response of interest is continuous and present a general introduction to linear mixed effects models for continuous responses. Next, I discuss how smoothing and semiparametric regression allow greater flexibility for the form of the relationship between the mean response and covariates. I demonstrate how the mixed model representation of penalized splines makes this extension straightforward. When the response of interest is categorical (e.g., binary or count data), two main extensions of generalized linear models to longitudinal data have been proposed: "marginal models" and "generalized linear mixed models." While both classes account for the within-subject correlation among the repeated measures, they differ in approach. We will highlight the main distinctions between these two types of models and discuss the types of scientific questions addressed by each.
Instructor(s): Garrett Fitzmaurice, Harvard School of Public Health

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