Small sample multiple testing with application to cDNA microarray data

Many tests have been developed for comparing means in a two-sample scenario. Microarray experiments lead to thousands of such comparisons in a single study. Several multiple testing procedures are available to control experiment-wise error or the false discovery rate. In this dissertation, individual two-sample tests are compared based on accuracy, correctness, and power. Four multiple testing procedures are compared via simulation, based on data from the lab of Dr. Rajesh Miranda. The effect of sample size on power is also carefully examined. The two sample t-test followed by the Benjamini and Hochberg (1995) false discovery rate controlling procedure result in the highest power.