Sparse Data Bias
Sparse Data Bias is a methodological artifact in meta-analysis arising when limited event counts across studies lead to distorted effect size estimates and inflated Type I error rates, particularly in underpowered cumulative evidence synthesis.
100
Publications
9.6K
Citations
330
Authors
176
Institutions
Publications per year
2017–2026
43
Parents
100
Sparse data bias: a problem hiding in plain sight
Sander Greenland, Mohammad Alì Mansournia, Douglas G. Altman · BMJ · 2016 · 877 citations · Full text
Analysis of matched case-control studies
Neil Pearce · BMJ · 2016 · 794 citations · Full text
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Lawrence Livermore National Laboratory, United States
2 publications · 55 citations
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176
University of California, Los Angeles
Los Angeles, United States
5 h-index
6 publications
1.4K citations
University of Oxford
Oxford, United Kingdom
3 h-index
3 publications
1.8K citations

Tehran University of Medical Sciences
Tehran, Iran
3 h-index
3 publications
1.2K citations
Texas A&M University
College Station, United States
2 h-index
2 publications
37 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
2 publications
79 citations
Universitätsmedizin Göttingen
Göttingen, Germany
2 h-index
5 publications
404 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
15 publications
384 citations

University of Nottingham
Nottingham, United Kingdom
2 h-index
2 publications
285 citations
1–8 of 176
9 publications · 3K citations
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AJE · 4 publications · 517 citations
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3 publications · 127 citations
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2 publications · 79 citations
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2 publications · 240 citations
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