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Assessing power to detect gene-environment interactions using surrogate outcomes : simulation study

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Assessing power to detect gene-environment interactions using surrogate outcomes : simulation study

Howlader, Tamanna (2005) Assessing power to detect gene-environment interactions using surrogate outcomes : simulation study. Masters thesis, Concordia University.

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Abstract

The low power of gene-environment (G {604} E) interaction studies is of major concern in genetic-epidemiolgic research. Past research involving binary outcomes has focussed mainly on the development of efficient study designs to address this problem. This thesis explores an alternative strategy that uses quantitative 'surrogates' of the 'clinical' binary outcome to improve power to detect G {604} E interactions. Efficiency of the quantitative 'surrogate' outcome X versus the binary outcome Y is assessed for three hypothetical models of the relationship between the outcomes, and their relationships to genetic susceptibility, exposure, and other risk factors. In the first scenario, X is a risk factor of disease, and a mediator for the effect of G {604} E interaction. In the second scenario, X is considered a marker of disease outcome. Finally, repeated measures of the disease marker X are used to define alternative binary and quantitative outcomes. Simulations are used to estimate the power to detect G {604} E interaction in models using these alternative outcomes

Divisions:Concordia University > Faculty of Arts and Science > Mathematics and Statistics
Item Type:Thesis (Masters)
Authors:Howlader, Tamanna
Pagination:xii, 125 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Sc.
Program:Mathematics and Statistics
Date:2005
Thesis Supervisor(s):Abrahamowicz, Michal
ID Code:8581
Deposited By:Concordia University Libraries
Deposited On:18 Aug 2011 14:29
Last Modified:18 Aug 2011 14:29
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