Multiple Subgroup Testing
Multiple Subgroup Testing is a statistical methodology that involves the simultaneous evaluation of treatment effects or associations across several predefined subgroups within a dataset, distinguished by its emphasis on controlling error rates and addressing multiplicity issues arising from conducting multiple inferential tests across overlapping or distinct subgroup structures.
71
Publications
6.6K
Citations
263
Authors
173
Institutions
Publications per year
2017–2026
10
Variants
Multiple Subgroup Analysis
Parents
71
William W. Busse, Stephen T. Holgate, Edward Kerwin et al. · American Journal of Respiratory and Critical Care Medicine · 2013 · 657 citations
Pharmacy, Immunology, Pharmacology +14
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173
University of Wisconsin–Madison
Madison, United States
3 h-index
4 publications
878 citations
Cancer Research And Biostatistics
Seattle, United States
3 h-index
5 publications
202 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
6 publications
162 citations

University of Helsinki
Helsinki, Finland
2 h-index
3 publications
85 citations
Statistics Austria
Vienna, Austria
2 h-index
2 publications
87 citations
The University of Texas Southwestern Medical Center
Dallas, United States
2 h-index
3 publications
80 citations
Duke University
Durham, United States
2 h-index
3 publications
150 citations
University of California, Los Angeles
Los Angeles, United States
2 h-index
2 publications
67 citations
1–8 of 173
6 publications · 735 citations
6
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SBR · 3 publications · 95 citations
3
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3 publications · 88 citations
3
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DIA · 3 publications · 87 citations
3
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JBS · 3 publications · 123 citations
3
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