Search
Now showing items 1-10 of 13
Logistic regression with covariate measurement error in an adaptive design : a Bayesian approach.
(2008-10-14)
Adaptive designs are increasingly popular in clinical trials. This is because such designs have the potential to decrease patient exposure to treatments that are
less efficacious or unsafe. The Bayesian approach to ...
Normal approximation for Bayesian models with non-sampling bias.
(, 2014-01-28)
Bayesian sample size determination can be computationally intensive for mod-
els where Markov chain Monte Carlo (MCMC) methods are commonly used for in-
ference. It is also common in a large database where the unmeasured ...
Conjugate hierarchical models for spatial data: an application on an optimal selection procedure.
(2006-07-24)
The theory of generalized linear models provides a unifying class of statistical distributions that can be used to model both discrete and continuous events. In this dissertation we present a new conjugate hierarchical ...
Bayesian inference for correlated binary data with an application to diabetes complication progression.
(2006-10-26)
Correlated binary measurements can occur in a variety of practical contexts and afford interesting statistical modeling challenges. In order to model the separate probabilities for each measurement we must somehow account ...
Bayesian and pseudo-likelihood interval estimation for comparing two Poisson rate parameters using under-reported data.
(2009-04-01)
We present interval estimation methods for comparing Poisson rate parameters from two independent populations with under-reported data for the rate difference and the rate ratio. In addition, we apply the Bayesian paradigm ...
Bayesian approaches to parameter estimation and variable selection for misclassified binary data.
(2009-08-26)
Binary misclassification is a common occurrence in statistical studies that, when ignored, induces bias in parameter estimates. The development of statistical methods to adjust for misclassification is necessary to allow ...
Bayesian evaluation of surrogate endpoints.
(2006-07-29)
To save time and reduce the size and cost of clinical trials, surrogate endpoints are frequently measured instead of true endpoints. The proportion of the treatment effect explained by surrogate endpoints (PTE) is a widely ...
Bayesian approaches to problems in drug safety and adaptive clinical trial designs.
(2008-06-10)
The efficacy, safety, and cost of pharmaceutical products are critical issues in society today. Motivated both financially and ethically by these concerns, the pharmaceutical industry has continually worked to develop ...
Selected topics in statistical discriminant analysis.
(2007-02-07)
This dissertation consists of three selected topics in statistical discriminant analysis: dimension reduction, regularization methods, and imputation methods. In Chapter 2 we first derive a new linear dimension-reduction ...
Bayesian adaptive designs for non-inferiority and dose selection trials.
(2006-07-31)
The process of conducting a pharmaceutical clinical trial often produces information in a way that can be used as the trial progresses. Bayesian methods offer a highly flexible means of using such information yielding ...