Longitudinal Causal Inference
Longitudinal Causal Inference is a subfield of causal inference that develops theories and methods for identifying and estimating causal effects in settings with longitudinal data, where treatments, covariates, and outcomes evolve over time and may involve time-varying confounding and dynamic treatment regimes.
847
Publications
73K
Citations
2.1K
Authors
899
Institutions
Publications per year
2017–2026
332
847
Bias in cross-sectional analyses of longitudinal mediation.
Scott E. Maxwell, David A. Cole · Psychological Methods · 2007 · 2.9K citations
1–5 of 847
2.1K
University of California, Berkeley, United States
19 publications · 1.1K citations
15
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11
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10
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9
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8
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1–5 of 2.1K
899
Harvard University
Cambridge, United States
32 h-index
119 publications
11.7K citations
University of California, Berkeley
Berkeley, United States
23 h-index
64 publications
4.5K citations
University of Michigan
Ann Arbor, United States
20 h-index
39 publications
4.1K citations

National Bureau of Economic Research
Cambridge, United States
19 h-index
41 publications
3.1K citations
IZA - Institute of Labor Economics
Bonn, Germany
17 h-index
31 publications
1.2K citations
University of Pennsylvania
Philadelphia, United States
16 h-index
37 publications
3K citations

Harvard University Press
Cambridge, United States
16 h-index
19 publications
2.7K citations
University of Chicago
Chicago, United States
15 h-index
27 publications
1.7K citations
1–8 of 899
Repository · 47 publications · 1.5K citations
23
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29 publications · 1.6K citations
19
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21 publications · 1.6K citations
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Repository · 21 publications · 1.4K citations
17
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AJE · 16 publications · 1.3K citations
15
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