Article

A selective inference approach for FDR control using multi-omics covariates yields insights into disease risk

2019-10-16

Abstract excerpt

To correct for a large number of hypothesis tests, most researchers rely on simple multiple testing corrections. Yet, new methodologies of selective inference could potentially improve power while retaining statistical guarantees, especially those that enable exploration of test statistics using auxiliary information (covariates) to weight hypothesis tests for association. We explore one such method, adaptive p-va...

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Literature Corpus work: ce54b834-acbe-5fce-8d86-6aa1f19e386e
DOI: 10.1101/806471

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