Model Selection Bias
Model Selection Bias is a systematic error in scientific inference arising when the process of selecting a statistical or computational model is influenced by factors that lead to an overestimation of its validity, performance, or generalizability, thereby distorting the empirical conclusions drawn from it.
571
Publications
43.6K
Citations
1.5K
Authors
754
Institutions
Publications per year
2017–2026
170
Parents
571
Analysis of Observational Studies in the Presence of Treatment Selection Bias
Thérèse A. Stukel, Elliott S. Fisher, David E. Wennberg et al. · JAMA · 2007 · 788 citations · Full text
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754
Harvard University
Cambridge, United States
13 h-index
14 publications
1.6K citations
University of Washington
Seattle, United States
10 h-index
18 publications
2.4K citations
University of Michigan
Ann Arbor, United States
9 h-index
18 publications
454 citations
Stanford University
Stanford, United States
9 h-index
15 publications
745 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
9 h-index
22 publications
964 citations
Columbia University
New York, United States
9 h-index
15 publications
2K citations
University College London
London, United Kingdom
8 h-index
10 publications
313 citations

Lincoln University
Lincoln, New Zealand
7 h-index
9 publications
702 citations
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Repository · 18 publications · 433 citations
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Repository · 11 publications · 228 citations
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Repository · 9 publications · 276 citations
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8 publications · 764 citations
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JHR · 7 publications · 657 citations
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