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Randomization Tests for Regression Models in Clinical Trials

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dc.contributor.advisor Rosenberger, William F.
dc.contributor.author Parhat, Parwen en_US
dc.creator Parhat, Parwen en_US
dc.date.accessioned 2013-08-09T15:40:06Z
dc.date.available 2013-08-09T15:40:06Z
dc.date.issued 2013 en_US
dc.identifier.uri http://hdl.handle.net/1920/8287
dc.description.abstract In this dissertation, we apply randomization tests in the context of regression models to detect treatment effects for clinical trial data. This application allows us to compute randomization tests for a wide variety of outcomes, including covariate adjusted treatment effects, general response functions, survival data, and longitudinal data. We used score residuals as the outcome of the randomization test under the generalized linear model. For the proportional hazards and accelerated linear model, we used the martingales residuals as the outcome of the randomization test. For the generalized linear mixed model, to detect whether there is a time-varying treatment effect, we compute the predicted random slope from the regression as the outcome of the randomization test. en_US
dc.format.extent 189 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2013 Parwen Parhat en_US
dc.subject Statistics en_US
dc.subject clinical trials en_US
dc.subject Monte Carlo en_US
dc.subject randomization test en_US
dc.title Randomization Tests for Regression Models in Clinical Trials en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Statistical Science en
thesis.degree.grantor George Mason University en


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