ABSTRACT
Sample size calculation plays an important role at the planning stage of a microarray study. Traditional statistical testing approaches such as the two-sample t-test or Wilcoxon test are often used for evaluating the statistical significance of informative expressions but require adjustment for large-scale multiplicity. This chapter derives formulas or procedures for sample size calculation for microarray studies under these two approaches. It provides a brief literature review and brief definition of false discovery rate (FDR) and introduces formulas and/or procedures for sample size calculation for the FDR approach given in Jung. The chapter explains some examples with and without constant effect sizes based on two-sided tests. It reviews multiple testing procedures and also provides procedures for sample size calculation for microarray studies for the family-wise error rate (FWER) approach. The chapter describes an application to leukemia data given in Golub.
