Longitudinal Data Modeling is a methodological framework within clinical data modeling that specifically captures and analyzes temporally ordered observations of variables over extended periods to characterize individual or population-level changes and trajectories.
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2017–2026
529
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1.6K
Longitudinal Data Analysis for Discrete and Continuous Outcomes
Scott L. Zeger, Kung‐Yee Liang · Biometrics · 1986 · 7.8K citations
Exports and Productivity: A Survey of the Evidence from Firm‐level Data
Joachim Wagner · World Economy · 2007 · 1.6K citations
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Harvard University
Cambridge, United States
32 h-index
85 publications
9.6K citations
Pennsylvania State University
State College, United States
30 h-index
93 publications
6.7K citations
University of Michigan
Ann Arbor, United States
28 h-index
114 publications
6.4K citations
University of California, Davis
Davis, United States
25 h-index
46 publications
6.2K citations
KU Leuven
Leuven, Belgium
24 h-index
76 publications
5.7K citations
Johns Hopkins University
Baltimore, United States
22 h-index
117 publications
20.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
22 h-index
65 publications
5.6K citations
Utrecht University
Utrecht, The Netherlands
21 h-index
51 publications
5.4K citations
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- Statistics in Medicine
115 publications · 5.7K citations
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- Biometrics
58 publications · 16.3K citations
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- Journal of the American Statistical Association
45 publications · 6.7K citations
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- Psychological Methods
25 publications · 3K citations
22
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- Structural Equation Modeling A Multidisciplinary Journal
SEM · 27 publications · 2.4K citations
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