Sources of variation in false discovery rate estimation include sample size, correlation, and inherent differences between groups.

ABSTRACT:

Background

High-throughtput technologies enable the testing of tens of thousands of measurements simultaneously. Identification of genes that are differentially expressed or associated with clinical outcomes invokes the multiple testing problem. False Discovery Rate (FDR) control is a statistical method used to correct for multiple comparisons for independent or weakly dependent test statistics. Although FDR control is frequently applied to microarray data analysis, gene expression is usually correlated, which might lead to inaccurate estimates. In this paper, we evaluate the accuracy of FDR estimation.

Methods

Using two real data sets, we resampled subgroups of patients and recalculated statistics of interest to illustrate the imprecision of FDR estimation. Next, we generat

SUBMITTER: Zhang J 

PROVIDER: S-EPMC3426804 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature