Hypothesis Testing in GWAS and Statistical Issues with Compensation in Clinical Trials

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Hypothesis Testing in GWAS and Statistical Issues with Compensation in Clinical Trials

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Title: Hypothesis Testing in GWAS and Statistical Issues with Compensation in Clinical Trials
Author: Swanson, David Michael
Citation: Swanson, David Michael. 2013. Hypothesis Testing in GWAS and Statistical Issues with Compensation in Clinical Trials. Doctoral dissertation, Harvard University.
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Abstract: We first show theoretically and in simulation how power varies as a function of SNP correlation structure with currently-implemented gene-based testing methods. We propose alternative testing methods whose power does not vary with the correlation structure. We then propose hypothesis tests for detecting prevalence-incidence bias in case-control studies, a bias perhaps overrepresented in GWAS due to currently used study designs. Lastly, we hypothesize how different incentive structures used to keep clinical trial participants in studies may interact with a background of dependent censoring and result in variation in the bias of the Kaplan-Meier survival curve estimator.
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11124831
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