G-estimation
G-Estimation is a statistical estimation method within the framework of marginal structural models that uses a structural nested mean model to estimate the causal effect of time-varying treatments by solving estimating equations derived from the assumption of no unmeasured confounding.
90
Publications
6.3K
Citations
181
Authors
125
Institutions
Publications per year
2017–2026
28
Variants
G-estimation Of Structural Nested Models
90
Methods for dealing with time‐dependent confounding
Rhian Daniel, Simon Cousens, Bianca De Stavola et al. · Statistics in Medicine · 2012 · 383 citations
1–5 of 90
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125
Harvard University
Cambridge, United States
17 h-index
37 publications
2.8K citations
University of California, Berkeley
Berkeley, United States
9 h-index
18 publications
2.3K citations
University of Pennsylvania
Philadelphia, United States
7 h-index
13 publications
1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
6 h-index
14 publications
1.6K citations

McGill University
Montreal, Canada
6 h-index
12 publications
471 citations
Cancer Research And Biostatistics
Seattle, United States
5 h-index
6 publications
394 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
5 h-index
13 publications
2.2K citations
Shandong University
Jinan, China
5 h-index
8 publications
482 citations
1–8 of 125
10 publications · 791 citations
10
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6 publications · 310 citations
6
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5 publications · 446 citations
5
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3 publications · 42 citations
4
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3 publications · 321 citations
4
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1–5