title: Bayesian decision procedures for dose determining experiments.
abstract: This paper describes the Bayesian decision procedure and illustrates the methodology through an application to dose determination in early phase clinical trials. The situation considered is quite specific: a fixed number of patients are available, to be treated one at a time, with the choice of dose for any patient requiring knowledge of the responses of all previous patients. A continuous range of possible doses is available. The prior beliefs about the dose-response relationship are of a particular form and the gain from investigation is measured in terms of statistical information gathered. How all of these specifications may be varied is discussed. A comparison with the continual reassessment method is made.
authors.affiliation: Department of Applied Statistics, University of Reading, UK.
authors.forename: J
authors.initials: J
authors.lastname: Whitehead
authors.forename: H
authors.initials: H
authors.lastname: Brunier
mesh_terms: D001499:Bayes Theorem; D017321:Clinical Trials, Phase I as Topic / Q000706:statistics & numerical data*; D004305:Dose-Response Relationship, Drug; D004359:Drug Therapy, Combination; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D008954:Models, Biological