Weight-function Models
Weight-Function Models is a statistical framework that belongs to the class of selection models used in meta-analysis, distinguished by its explicit modeling of the probability that a study is published or included in the analysis as a function of its sample size or precision, thereby addressing publication bias and small-study effects through a weighted likelihood approach.
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2017–2026
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Variants
Weight Function Models
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Selection Models and the File Drawer Problem
Satish Iyengar, Joel B. Greenhouse · Statistical Science · 1988 · 401 citations · Full text
Modeling Publication Selection Effects in Meta-Analysis
Larry V. Hedges · Statistical Science · 1992 · 369 citations · Full text
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Center for Drug Evaluation and Research
Silver Spring, United States
3 h-index
3 publications
74 citations
University of California, Merced
Merced, United States
2 h-index
3 publications
256 citations

Central Connecticut State University
New Britain, United States
1 h-index
1 publications
35 citations
Shangrao Normal University
Shangrao, China
1 h-index
2 publications
22 citations
National Aeronautical Research Institute
Bromma, Sweden
1 h-index
1 publications
13 citations
University of Connecticut
Storrs, United States
1 h-index
1 publications
35 citations
Max Planck Institute for Plasma Physics
Garching, Germany
1 h-index
2 publications
144 citations
Guangdong Urban & Rural Planning and Design Institute
Guangzhou, China
1 h-index
1 publications
22 citations
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3 publications · 965 citations
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2 publications · 150 citations
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2 publications · 56 citations
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2 publications · 56 citations
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2 publications · 53 citations
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