Cargando…
Using controls to limit false discovery in the era of big data
BACKGROUND: Procedures for controlling the false discovery rate (FDR) are widely applied as a solution to the multiple comparisons problem of high-dimensional statistics. Current FDR-controlling procedures require accurately calculated p-values and rely on extrapolation into the unknown and unobserv...
Autores principales: | Parks, Matthew M., Raphael, Benjamin J., Lawrence, Charles E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6137876/ https://www.ncbi.nlm.nih.gov/pubmed/30217148 http://dx.doi.org/10.1186/s12859-018-2356-2 |
Ejemplares similares
-
Controlling false discoveries in high-dimensional situations: boosting with stability selection
por: Hofner, Benjamin, et al.
Publicado: (2015) -
False discovery rate control in two-stage designs
por: Zehetmayer, Sonja, et al.
Publicado: (2012) -
Importance of presenting the variability of the false discovery rate control
por: Lin, Yi-Ting, et al.
Publicado: (2015) -
Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials
por: Rigdon, Joseph, et al.
Publicado: (2018) -
Grouped False-Discovery Rate for Removing the Gene-Set-Level Bias of RNA-seq
por: Yang, Tae Young, et al.
Publicado: (2013)