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X-LINKED REPEAT POLYMORPHISMS AND DISEASE RISK:
STATISTICAL POWER AND STUDY DESIGNS
by
Timothy J. Triche, Jr.
A Thesis Presented to the
FACULTY OF THE GRADUATE SCHOOL
UNIVERSITY OF SOUTHERN CALIFORNIA
In Partial Fulfillment of the
Requirements for the Degree
MASTER OF SCIENCE
(BIOSTATISTICS)
December 2008
Copyright 2008 Timothy J. Triche, Jr.
Object Description
| Title | X-linked repeat polymorphisms and disease risk: statistical power and study designs |
| Author | Triche, Timothy J., Jr. |
| Author email | ttriche@usc.edu; tim.triche@gmail.com |
| Degree | Master of Science |
| Document type | Thesis |
| Degree program | Biostatistics |
| School | Keck School of Medicine |
| Date defended/completed | 2008-11-03 |
| Date submitted | 2008 |
| Restricted until | Unrestricted |
| Date published | 2008-12-07 |
| Advisor (committee chair) | Siegmund, Kimberly |
| Advisor (committee member) |
Gauderman, W. James Cortessis, Victoria Kristence |
| Abstract | The design and analysis of association studies for repeat polymorphisms has received scant attention in the literature. We present an analytical power calculation for studies of such polymorphisms, based on a case-parent design and an X-linked polymorphism. Existing tools for estimating statistical power in family-based studies (such as Quanto) presume categorical codings of autosomal loci. We extend the underlying method to handle quantitative codings of repeat polymorphisms, and discuss the advantages of doing so. Sample sizes for a conditional logistic regression analysis of a sex-linked repeat polymorphism in a case-parent design are presented. Empirical power for quantitative and categorical codings of the same polymorphism with the same sample size in otherwise identical studies are then compared via Monte Carlo simulation. The differences in information to be expected from male and female case-parent, case-sibling, and case-population pairs are discussed. In addition, the effects of stratification and model mis-specification are explored. The effects of missing data, and potential approaches for addressing it, are discussed. |
| Keyword | statistical power; x-linked repeat polymorphisms; family-based genetic association studies; conditional logistic regression |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m1886 |
| Contributing entity | University of Southern California |
| Rights | Triche, Timothy J., Jr. |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@dots.usc.edu |
| Filename | etd-Triche-1908 |
| Archival file | uscthesesreloadpub_Volume44/etd-Triche-1908.pdf |
Description
| Title | Page 1 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@dots.usc.edu |
| Full text | X-LINKED REPEAT POLYMORPHISMS AND DISEASE RISK: STATISTICAL POWER AND STUDY DESIGNS by Timothy J. Triche, Jr. A Thesis Presented to the FACULTY OF THE GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree MASTER OF SCIENCE (BIOSTATISTICS) December 2008 Copyright 2008 Timothy J. Triche, Jr. |
