G-formula
G-Formula is a mathematical method in causal inference that, within longitudinal settings, identifies the causal effect of time-varying treatments by adjusting for time-dependent confounders through sequential conditional expectation under a specified causal model.
98
Publications
5.6K
Citations
422
Authors
264
Institutions
Publications per year
2017–2026
63
Variants
G-computationG-computation Algorithm
98
The Parametric g-Formula for Time-to-event Data
Alexander P. Keil, Jessie K. Edwards, David B. Richardson et al. · Epidemiology · 2014 · 189 citations · Full text
1–5 of 98
422
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University of North Carolina at Chapel Hill, United States
8 publications · 522 citations
8
h-index
1–5 of 422
264
Harvard University
Cambridge, United States
24 h-index
91 publications
6.8K citations
Harvard–MIT Division of Health Sciences and Technology
Cambridge, United States
11 h-index
11 publications
924 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
10 h-index
32 publications
1.8K citations
University of California, Berkeley
Berkeley, United States
9 h-index
26 publications
773 citations
Max Planck Institute for Demographic Research
Rostock, Germany
7 h-index
18 publications
458 citations

Brigham and Women's Hospital
Boston, United States
6 h-index
9 publications
383 citations
University College London
London, United Kingdom
6 h-index
20 publications
794 citations

Johns Hopkins University
Baltimore, United States
6 h-index
24 publications
493 citations
1–8 of 264
10 publications · 521 citations
9
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AJE · 7 publications · 409 citations
7
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7 publications · 449 citations
7
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4 publications · 496 citations
4
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Repository · 4 publications · 96 citations
4
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