Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation

Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation

Abstract Background When many (up to millions) of statistical tests are conducted in discovery set analyses such as genome-wide association studies (GWAS), approaches controlling family-wise error rate (FWER) or false discovery rate (FDR) are required to reduce the number of false positive decisions...

Full description

Bibliographic Details
Main Authors: Regina Brinster, Anna Köttgen, Bamidele O. Tayo, Martin Schumacher, Peggy Sekula, on behalf of the CKDGen Consortium
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
False discovery rate
Simulation study
Low-dimensional setting
Q-value method
Online Access:http://link.springer.com/article/10.1186/s12859-018-2081-x

Internet

http://link.springer.com/article/10.1186/s12859-018-2081-x

Similar Items