Credible Set Construction
Credible Set Construction is a statistical method in genetic fine-mapping that identifies a minimal set of genetic variants, ranked by posterior probability, such that the causal variant is contained within the set with a specified high probability, thereby distinguishing it from alternative variant prioritization approaches by its probabilistic guarantee of causal inclusion.
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363
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223
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2017–2026
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Bayesian linear regression with sparse priors
The Annals of Statistics · 2015 · 251 citations · Full text
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University of Michigan
Ann Arbor, United States
4 h-index
8 publications
407 citations

University of Warwick
Coventry, United Kingdom
3 h-index
3 publications
254 citations
University of Oxford
Oxford, United Kingdom
3 h-index
12 publications
1.4K citations
Harvard University
Cambridge, United States
3 h-index
19 publications
1.3K citations
Mayo Clinic in Arizona
Scottsdale, United States
2 h-index
3 publications
354 citations

University of Turku
Turku, Finland
2 h-index
2 publications
212 citations
The University of Texas Health Science Center at Houston
Houston, United States
2 h-index
4 publications
220 citations

Centre for Human Genetics
Oxford, United Kingdom
2 h-index
9 publications
1K citations
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5 publications · 385 citations
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