Longitudinal Data Analysis
Longitudinal Data Analysis is a branch of statistical methodology that focuses on modeling and inference for data consisting of repeated measurements on the same observational units over time, distinguishing itself by explicitly accounting for within-unit correlation, time-varying covariates, and temporal dependence in order to characterize change and assess associations between risk factors and outcomes.
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Longitudinal Data Analysis for Discrete and Continuous Outcomes
Scott L. Zeger, Kung‐Yee Liang · Biometrics · 1986 · 7.8K citations
Multilevel and Longitudinal Modeling Using Stata
Biometrics · 2006 · 4.3K citations
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Harvard University
Cambridge, United States
60 h-index
293 publications
45.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
41 h-index
191 publications
12.5K citations
University of Michigan
Ann Arbor, United States
41 h-index
241 publications
16.3K citations

Pennsylvania State University
State College, United States
41 h-index
188 publications
12.2K citations

Johns Hopkins University
Baltimore, United States
40 h-index
147 publications
23.8K citations
University of California, Davis
Davis, United States
40 h-index
141 publications
18.4K citations
KU Leuven
Leuven, Belgium
39 h-index
166 publications
13.1K citations
University of California, Los Angeles
Los Angeles, United States
35 h-index
104 publications
11K citations
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183 publications · 25.8K citations
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392 publications · 23.9K citations
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SEM · 93 publications · 8K citations
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