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BAYESIAN DECISION PROCEDURES FOR DOSE DETERMINING EXPERIMENTS
Author(s) -
Whitehead John,
Brunier Hazel
Publication year - 1995
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780140904
Subject(s) - bayesian probability , computer science , range (aeronautics) , maximum tolerated dose , prior information , decision theory , medical physics , statistics , clinical trial , econometrics , medicine , artificial intelligence , mathematics , materials science , composite material
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.