Unknown

Dataset Information

0

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


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.

SUBMITTER: Heller R 

PROVIDER: S-EPMC4246311 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Heller Ruth R   Bogomolov Marina M   Benjamini Yoav Y  

Proceedings of the National Academy of Sciences of the United States of America 20141103 46


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. ...[more]

Similar Datasets

2005-01-18 | GSE1907 | GEO
| S-EPMC6048482 | biostudies-literature
| S-EPMC3267376 | biostudies-literature
| S-EPMC3123220 | biostudies-literature
| PRJEB70954 | ENA
| PRJEB3227 | ENA
| S-EPMC7051307 | biostudies-literature
| S-EPMC8631639 | biostudies-literature
| S-EPMC4312029 | biostudies-literature
| S-EPMC6237325 | biostudies-literature