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Nonparametric estimation of the rediscovery rate

Title
Nonparametric estimation of the rediscovery rate
Authors
Lee, DonghwanGanna, AndreaPawitan, YudiLee, Woojoo
Ewha Authors
이동환
SCOPUS Author ID
이동환scopus
Issue Date
2016
Journal Title
STATISTICS IN MEDICINE
ISSN
0277-6715JCR Link1097-0258JCR Link
Citation
vol. 35, no. 18, pp. 3203 - 3212
Keywords
rediscovery ratemultiple testingfalse discovery ratevalidation study
Publisher
WILEY-BLACKWELL
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Validation studies have been used to increase the reliability of the statistical conclusions for scientific discoveries; such studies improve the reproducibility of the findings and reduce the possibility of false positives. Here, one of the important roles of statistics is to quantify reproducibility rigorously. Two concepts were recently defined for this purpose: (i) rediscovery rate (RDR), which is the expected proportion of statistically significant findings in a study that can be replicated in the validation study and (ii) false discovery rate in the validation study (vFDR). In this paper, we aim to develop a nonparametric approach to estimate the RDR and vFDR and show an explicit link between the RDR and the FDR. Among other things, the link explains why reproducing statistically significant results even with low FDR level may be difficult. Two metabolomics datasets are considered to illustrate the application of the RDR and vFDR concepts in high-throughput data analysis. Copyright (c) 2016 John Wiley & Sons, Ltd.
DOI
10.1002/sim.6915
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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