Sample size calculation for a regularized t-statistic in microarray experiments

Akihiro Hirakawa, Chikuma Hamada and Isao Yoshimura

Statistics & Probability Letters, 2011, vol. 81, issue 7, 870-875

Abstract: The regularized t-statistic, wherein, a regularization term is added to the denominator in order to improve the identifiability of differentially expressed genes, outperforms an ordinary t-statistic. Most methods of sample size calculation in the literature, however, calculate the sample size based on the ordinary one. We derive an approximate formula for the distribution of regularized t-statistics and develop a formula of sample size calculation for regularized t-statistics. The sample size is determined based on sensitivity under certain conditions to maintain a certain false discovery rate using a mixture model. The usefulness of the proposed method is demonstrated by numerical studies that compare the sample sizes of regularized and ordinary t-statistics and simulation studies for examining the robustness of the proposed method based on real data.

Keywords: False; discovery; rate; Microarray; Regularized; t-statistic; Sample; size (search for similar items in EconPapers)
Date: 2011
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