Biostatistics Seminar Series: Marginal models and Mixed models for longitudinal outcomes: What’s the difference?
Longitudinal data comprise repeated measurements on the same patients taken over time. How should such data be analyzed? Two approaches are common: marginal models and mixed models. These are different kinds of models that yield different interpretations and answer different research questions.
In this session of the TraCS Biostatistics Seminar series, you will learn about the differences as well as the areas of overlap of these statistical models. It will clarify the big difference between linear and generalized linear models, and help you decide which type to use in a given study.
Presenter: Bahjat Qaqish, PhD
Professor, Department of Biostatistics
Gillings School of Global Public Health, UNC-Chapel Hill
The NC TraCS Biostatistics Seminar Series provides more in-depth discussion of select biostatistical topics for clinical and translational researchers who have basic quantitative training in biostatistical methods.
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