| Publisher | SAS Institute | ||
|---|---|---|---|
| Format | 209.7KB PDF | Date added | 28 Feb 2006 |
| Topics | Knowledge and Data Management, Data Mining - Analysis | ||
| Downloads | 166 | ||
This paper gives an exposition of recently developed methods of estimating the False Discovery Rate (FDR) under multiple comparisons and discusses their implementation using SAS. For example, microarray experiments typically involve tests of significance for hundreds or thousands of genes. For biologists confronted by this problem of multiplicity, the FDR is an appealing quantification of error. SAS code using the SAS/MACRO, SAS/STAT, and SAS/IML facilities is presented to compute this estimate, and appears in the appendix. Q-values, which are to FDR as p-values are to the type I error rate, are also obtained and used to reproduce plots generated by the R package "Qvalue" that may be helpful for conducting multiple tests.
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