Study Weights
Study Weights is a statistical weighting mechanism in random-effects models that assigns each study a weight proportional to the inverse of its total variance, combining both within-study and between-study variability, to reflect its relative contribution to the overall effect size estimate.
76
Publications
6.6K
Citations
252
Authors
152
Institutions
Publications per year
2017–2026
23
Variants
Inverse-variance Weights
Parents
76
Gary Solon, Steven J. Haider, Jeffrey M. Wooldridge · The Journal of Human Resources · 2015 · 1.2K citations
Mohammad Alì Mansournia, Douglas G. Altman · BMJ · 2016 · 438 citations · Full text
The sampling design of the China Family Panel Studies (CFPS)
Yu Xie, Ping Lü · Chinese Journal of Sociology · 2015 · 361 citations
Credible Research Designs for Minimum Wage Studies
Sylvia Allegretto, Arindrajit Dubé, Michael Reich et al. · Industrial and Labor Relations Review · 2017 · 243 citations
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152

Stockholm University
Stockholm, Sweden
3 h-index
3 publications
317 citations

Keele University
Newcastle-under-Lyme, United Kingdom
3 h-index
9 publications
265 citations
University of Washington
Seattle, United States
3 h-index
3 publications
257 citations

University of Toronto
Toronto, Canada
3 h-index
3 publications
217 citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
1.3K citations

Chinese Academy of Sciences
Beijing, China
2 h-index
9 publications
1K citations

Universidad de Murcia
Murcia, Spain
2 h-index
4 publications
610 citations
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
178 citations
1–8 of 152
7 publications · 494 citations
7
h-index
2 publications · 301 citations
2
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JBS · 2 publications · 61 citations
2
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2 publications · 103 citations
2
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Repository · 2 publications · 37 citations
2
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1–5