Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studies

By S. Wacholder, Stephen J. Chanock, M. García-Closas, L. E. Ghormli, N. Rothman. 2004

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An Introduction to Second-Generation p-Values (2019, background): “While it is true that the FDRs depend on the error rates (Wacholder et al. 2004), the FDRs are clearly distinct quantities and they should be treated as such.”
Genetic Mapping in Human Disease (2008, background): “The ‘‘candidategene’’ approach to studies of genetic factors failed to find and replicate many associations, probably because genetic epidemiologists overestimated their ability to select the best candidates and because the threshold for claiming an association was too low given the low prior probab”
CARE guidelines for case reports: explanation and elaboration document. (2017, background): “The evidence that hypotheses are not false is associatedwith the prior probability of an association between variablesdfor example, a diagnostic single nucleotide polymorphism test and a disease [64,65].”
The future of association studies: gene-based analysis and replication. (2004, background): “The different approaches to the problem of multiple testing in association studies have been reviewed by several authors (Altshuler et al. 1998; Colhoun et al. 2003; van den Oord and Sullivan 2003; Thomas and Clayton 2004; Wacholder et al. 2004).”