Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study

Ruth Heller; Marina Bogomolov; Yoav Benjamini

doi:https://doi.org/10.1073/pnas.1314814111

Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study

Ruth Heller, Marina Bogomolov, Yoav Benjamini

School of Mathematical Sciences

Tel Aviv University

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a formal method to declare that findings from a primary study have been replicated in a follow-up study. Our proposal is appropriate for primary studies that involve large-scale searches for rare true positives (i.e., needles in a haystack). Our proposal assigns an r value to each finding; this is the lowest false discovery rate at which the finding can be called replicated. Examples are given and software is available.

Original language	English
Pages (from-to)	16262-16267
Number of pages	6
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	111
Issue number	46
DOIs	https://doi.org/10.1073/pnas.1314814111
State	Published - 18 Nov 2014

Keywords

False discovery rate
Genome-wide association studies
Metaanalysis
Multiple comparisons
R value

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Cite this

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JO - Proceedings of the National Academy of Sciences of the United States of America

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Deciding whether follow-up studies have replicated findings in a preliminary large-scale omics study

Abstract

Keywords

All Science Journal Classification (ASJC) codes

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