Overview
Garrett M. Fitzmaurice is a biostatistician (Harvard Medical School / Harvard School of Public Health) specializing in the analysis of longitudinal and repeated-measures data. He is co-author of the standard textbook Applied Longitudinal Analysis (Fitzmaurice, Laird & Ware).
Key Contributions / Features
- Marginal models for longitudinal binary data (Fitzmaurice-Laird-Rotnitzky 1993): lead author of the review connecting the GEE and likelihood-based "mixed-parameter" approaches (Generalized Estimating Equations).
- Work on the likelihood-based mixed-parameter marginal model (Fitzmaurice & Laird 1993) and, more broadly, methods and pedagogy for longitudinal data analysis.
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