Subgroup-specific Effect Estimates
Subgroup-Specific Effect Estimates is a statistical inference that quantifies the magnitude and direction of a treatment or exposure effect within a predefined subset of individuals sharing distinct characteristics, differentiating it from overall effect estimates by focusing on heterogeneity of effects across subpopulations defined by covariates such as demographics, biomarkers, or clinical traits.
157
Publications
14.3K
Citations
674
Authors
327
Institutions
Publications per year
2017–2026
64
Variants
Subgroup-specific Effects
Parents
157
Subgroup analysis and other (mis)uses of baseline data in clinical trials
Susan F. Assmann, Stuart Pocock, Laura E. Enos et al. · The Lancet · 2000 · 1.2K citations
1–5 of 157
674
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327
Harvard University
Cambridge, United States
10 h-index
32 publications
3.8K citations
Medical University of Vienna
Vienna, Austria
7 h-index
16 publications
605 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
19 publications
531 citations
Novartis (Switzerland)
Basel, Switzerland
7 h-index
14 publications
637 citations

Johns Hopkins University
Baltimore, United States
7 h-index
15 publications
1K citations
University of Michigan
Ann Arbor, United States
7 h-index
12 publications
2.4K citations
Stanford University
Stanford, United States
6 h-index
11 publications
2.3K citations
Yale University
New Haven, United States
6 h-index
12 publications
622 citations
1–8 of 327
10 publications · 950 citations
10
h-index
AJE · 6 publications · 367 citations
6
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JBS · 6 publications · 117 citations
6
h-index
5 publications · 204 citations
5
h-index
4 publications · 115 citations
4
h-index
1–5