Article

A simple new approach to variable selection in regression, with application to genetic fine-mapping

2018-12-19

Abstract excerpt

We introduce a simple new approach to variable selection in linear regression, with a particular focus on quantifying uncertainty in which variables should be selected . The approach is based on a new model — the “Sum of Single Effects” ( SuSiE ) model — which comes from writing the sparse vector of regression coefficients as a sum of “single-effect” vectors, each with one non-zero element. We also introduce a c...

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Literature Corpus work: 7ff355c7-ebeb-51d6-b95d-63a451f642c7
DOI: 10.1101/501114

Open publication

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