Bayesian decision procedures for dose determining experiments.

J Whitehead; H Brunier

doi:10.1002/sim.4780140904

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Bayesian decision procedures for dose determining experiments.

J Whitehead·H Brunier

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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.

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Bayes Theorem Clinical Trials, Phase I as Topic Dose-Response Relationship, Drug Drug Therapy, Combination Humans Likelihood Functions Logistic Models Models, Biological Journal Article

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J Whitehead, H Brunier. Bayesian decision procedures for dose determining experiments.. https://doi.org/10.1002/sim.4780140904

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