Statistical Generalization is a methodological framework in empirical research that enables the inference of population-level patterns or relationships from sample data by accounting for variability, bias, and representativeness in the sampling process.
112
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17.1K
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222
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124
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Publications per year
2017–2026
28
Parents
Publications
112
Generalisability, Random Effects & Population Inference
Andrew P. Holmes, Karl Friston · NeuroImage · 1998 · 903 citations
1–5 of 112
Authors
222
- AU
5
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4
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3
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3
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3
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1–5 of 222
Institutions
124
Jožef Stefan Institute
Ljubljana, Slovenia
6 h-index
17 publications
370 citations
Columbia University
New York, United States
4 h-index
5 publications
394 citations
Johns Hopkins University
Baltimore, United States
4 h-index
13 publications
839 citations
University of Auckland
Auckland, New Zealand
3 h-index
3 publications
223 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
6 publications
157 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
61 citations
Princeton University
Princeton, United States
2 h-index
4 publications
293 citations
Pivotal Labs
San Francisco, United States
2 h-index
2 publications
198 citations
1–8 of 124
Venues
- Behavioral and Brain Sciences
BBS · 3 publications · 653 citations
3
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- Biometrika
3 publications · 6K citations
3
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- Communication in Statistics- Theory and Methods
2 publications · 73 citations
2
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- RePEc: Research Papers in Economics
Repository · 2 publications · 43 citations
2
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- Physica A Statistical Mechanics and its Applications
2 publications · 41 citations
2
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1–5