Nonparametric estimation of the rediscovery rate
- 주제(키워드) False discovery rate , Multiple testing , Rediscovery rate , Validation study
- 등재 SCIE, SCOPUS
- 발행기관 John Wiley and Sons Ltd
- 발행년도 2016
- 총서유형 Journal
- URI http://www.dcollection.net/handler/ewha/000000125473
- 본문언어 영어
- Published As http://dx.doi.org/10.1002/sim.6915
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
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. © 2016 John Wiley & Sons, Ltd.
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