Now showing items 11-13 of 13
Bayesian inference for correlated binary data with an application to diabetes complication progression.
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 ...
Logistic regression with covariate measurement error in an adaptive design : a Bayesian approach.
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 ...
Conjugate hierarchical models for spatial data: an application on an optimal selection procedure.
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 ...