A simple method for assessing sample sizes in microarray experiments

In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various samples sizes, we estimate the false discovery rate and false negative rate of a list of genes; these are also interpretable as per gene power and type I error. We also illustrate our method on other kinds of response variables, for example survival outcomes.

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Robert Tibshirani
• Keywords: BMCBI 2006, False Discovery Rate, False Negative Rate, Sample Size Requirements