Now showing items 1-4 of 4
Bayesian evaluation of surrogate endpoints.
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 ...
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 ...
Bayesian adaptive designs for non-inferiority and dose selection trials.
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 ...
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 ...