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.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/4319 |
| Date | 30 October 2006 |
| Creators | Hintze, Eric Poole |
| Contributors | Sherman, Michael |
| Publisher | Texas A&M University |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | 4399335 bytes, electronic, application/pdf, born digital |
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