Parametric G-formula
The Parametric G-Formula is a statistical method that extends the general G-formula by specifying a parametric model for the conditional distributions of time-varying treatments and confounders to estimate causal effects under time-varying interventions.
80
Publications
4.1K
Citations
406
Authors
263
Institutions
Publications per year
2017–2026
55
Variants
Parametric G-computationParametric G-formulae
Parents
80
Methods for dealing with time‐dependent confounding
Rhian Daniel, Simon Cousens, Bianca De Stavola et al. · Statistics in Medicine · 2012 · 383 citations
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
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University of North Carolina at Chapel Hill, United States
11 publications · 721 citations
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8
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263
Harvard University
Cambridge, United States
23 h-index
86 publications
6K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
12 h-index
40 publications
2.3K citations
Harvard–MIT Division of Health Sciences and Technology
Cambridge, United States
11 h-index
11 publications
845 citations
University of California, Berkeley
Berkeley, United States
8 h-index
25 publications
744 citations
Max Planck Institute for Demographic Research
Rostock, Germany
7 h-index
18 publications
458 citations
University of California, San Francisco
San Francisco, United States
6 h-index
6 publications
258 citations
University College London
London, United Kingdom
6 h-index
22 publications
873 citations

Brigham and Women's Hospital
Boston, United States
6 h-index
9 publications
383 citations
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10 publications · 554 citations
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AJE · 8 publications · 475 citations
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5 publications · 688 citations
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5 publications · 548 citations
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3 publications · 61 citations
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