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Parametric Control of Familywise Error Rates with Dependent P-Values

Blakesley, Richard E (2008) Parametric Control of Familywise Error Rates with Dependent P-Values. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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Many research areas require multiple outcomes. For example, neuropsychological hypotheses may not be testable using a single measure. Similarly, genetic researchers frequently examine multiple markers across the genome. Examining multiple hypotheses requires the use of multiple testing procedures (MTPs) to control Type I error. The application of MTPs is significant to public health researchers because of the danger of declaring false inferences. Researchers need MTPs to control such error while maintaining power to detect real effects. Two specific error rates include the familywise error rate (FWER) and the generalized FWER (k-FWER). We begin with an examination of ten FWER MTPs with respect to a key multiple testing issue, p-value dependence. This preliminary look illuminated the benefit of stepwise methods over single-step counterparts, the strengths and challenges of nonparametric, resampling-based methods, and the insufficiency of parametric methods in addressing p-value dependence. This dissertation continues with proposals for new, parametric, step-down (SD) MTPs that incorporate correlation information with the aim to control the FWER and k-FWER. By simulation studies and applications to a microarray data example, we compared these proposed methods against several existing MTPs, including the nonparametric SD minP and SD k-minP methods, considered here as the benchmark MTPs. The proposed FWER and k-FWER methods approximated the error and power of the comparison SD minP and SD k-minP methods more closely than the other parametric MTPs. The proposed FWER method demonstrated notable FWER control. The proposed k-FWER method exhibited a degree of error, suggesting the need for further refinement.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Blakesley, Richard
Date: 28 September 2008
Date Type: Completion
Defense Date: 28 July 2008
Approval Date: 28 September 2008
Submission Date: 29 July 2008
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Public Health > Biostatistics
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: adjusted p-values; correlated outcomes; familywise error rate; k-FWER; multiple hypothesis testing; p-value dependence; FWER; multiple testing procedure
Other ID:, etd-07292008-082802
Date Deposited: 10 Nov 2011 19:54
Last Modified: 15 Nov 2016 13:47


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