Heterogeneity Testing
Heterogeneity Testing is a statistical method used in Mendelian randomization studies to assess whether causal effect estimates derived from multiple genetic variants are consistent with each other, thereby identifying potential violations of the instrumental variable assumptions due to biological or methodological differences across variants.
175
Publications
14.7K
Citations
566
Authors
274
Institutions
Publications per year
2017–2026
43
Parents
175
Methodology and Reports of Systematic Reviews and Meta-analyses
Alejandro R. Jadad, Alison L Jones, Terry P. Klassen et al. · JAMA · 1998 · 545 citations
Public Health, Biostatistics, Comparative Effectiveness Research +16
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University of Manitoba
Winnipeg, Canada
8 h-index
15 publications
763 citations

University of Bristol
Bristol, United Kingdom
7 h-index
31 publications
4.5K citations
National Cancer Institute
Bethesda, United States
5 h-index
5 publications
242 citations
Columbia University
New York, United States
5 h-index
6 publications
333 citations
University of South Carolina
Columbia, United States
5 h-index
6 publications
206 citations
University of Southern California
Los Angeles, United States
4 h-index
5 publications
260 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
4 publications
339 citations
Harvard University
Cambridge, United States
4 h-index
5 publications
464 citations
1–8 of 274
12 publications · 1.4K citations
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8 publications · 739 citations
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6 publications · 110 citations
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4 publications · 119 citations
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CSDA · 4 publications · 87 citations
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