Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation
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. Some methods were...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2 March 2018
|
| In: |
BMC bioinformatics
Year: 2018, Jahrgang: 19 |
| ISSN: | 1471-2105 |
| DOI: | 10.1186/s12859-018-2081-x |
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1186/s12859-018-2081-x Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12859-018-2081-x 
|
| Verfasserangaben: | Regina Brinster, Anna Köttgen, Bamidele O. Tayo, Martin Schumacher, Peggy Sekula |
Search Result 1
Control procedures and estimators of the false discovery rate and their application in low-dimensional settings: an empirical investigation
BioMed Central ; Springer 2018
Article (Journal)
Book/Monograph
Online Resource