Doctoral Dissertations

Author

Keywords and Phrases

P-value, gene expression, high dimension, multiple testing, mixture model, microarray experiment

Abstract

"High dimensional experiments (HDEs) involving thousands of simultaneous hypothesis tests have become more prevalent in recent years. Several statistical methods that have been proposed for analyzing data from such experiments have used the distribution of P-values that result from these tests. This dissertation brings together some past research on the distribution of a P-value as a random variable and places it in the context of HDEs. One scenario illustrates a non-unifonn null distribution for a P-value and the effect on interpretation of results from HD Es, and another considers the effect of correlated P-values on a key result that is often of interest in HD Es. The distribution of a P-value under the alternative hypothesis is explored when the effect size is a fixed value or is a random variable under some distribution. The suitability of a beta distribution for modeling the true distribution is discussed. This disse1iation reveals some insights into the distribution of P-values from multiple tests, some challenges that can arise when modeling it, and some suggested approaches to the challenges"--Abstract, page iii.

Advisor(s)

Gadbury, Gary L.

Committee Member(s)

Le, Vy Khoi
Samaranayake, V. A.
Westenberg, David J.
Wen, Xuerong

Department(s)

Mathematics and Statistics

Degree Name

Ph. D. in Mathematics

Sponsor(s)

National Science Foundation (U.S.)

Publisher

University of Missouri--Rolla

Publication Date

Spring 2007

Pagination

x, 88 pages

Note about bibliography

Includes bibliographical references (pages 84-87).

Rights

© 2007 Xiaojun Hu, All rights reserved.

Document Type

Dissertation - Restricted Access

File Type

text

Language

English

Subject Headings

Gene expressionMultiple comparisons (Statistics)

Thesis Number

T 9182

Print OCLC #

173259973

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