A simple method for assessing sample sizes in microarray experiments.

Robert Tibshirani

doi:10.1186/1471-2105-7-106

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A simple method for assessing sample sizes in microarray experiments.

Robert Tibshirani

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Abstract

BACKGROUND: In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS: 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 discuss application of our method to other kinds of response variables, for example survival outcomes. CONCLUSION: Our method seems to be useful for sample size assessment in microarray experiments.

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Computer Simulation Models, Genetic Oligonucleotide Array Sequence Analysis Sample Size Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

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Robert Tibshirani. 2006-03-02. A simple method for assessing sample sizes in microarray experiments.. https://doi.org/10.1186/1471-2105-7-106

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