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Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes

Identifieur interne : 002104 ( Main/Merge ); précédent : 002103; suivant : 002105

Decision Theoretic Designs for Phase II Clinical Trials with Multiple Outcomes

Auteurs : Nigel Stallard [Royaume-Uni] ; Peter F. Thall [États-Unis] ; John Whitehead [Royaume-Uni]

Source :

RBID : ISTEX:0441E4A95F1238196AE17D9BB1A0CF81FD6F29CA

English descriptors

Abstract

Summary. In many phase II clinical trials, it is essential to assess both efficacy and safety. Although several phase II designs that accommodate multiple outcomes have been proposed recently, none are derived using decision theory. This paper describes a Bayesian decision theoretic strategy for constructing phase II designs based on both efficacy and adverse events. The gain function includes utilities assigned to patient outcomes, a reward for declaring the new treatment promising, and costs associated with the conduct of the phase II trial and future phase III testing. A method for eliciting gain function parameters from medical collaborators and for evaluating the design's frequentist operating characteristics is described. The strategy is illustrated by application to a clinical trial of peripheral blood stem cell transplantation for multiple myeloma.

Url:
DOI: 10.1111/j.0006-341X.1999.00971.x

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ISTEX:0441E4A95F1238196AE17D9BB1A0CF81FD6F29CA

Le document en format XML

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<div type="abstract" xml:lang="en">Summary. In many phase II clinical trials, it is essential to assess both efficacy and safety. Although several phase II designs that accommodate multiple outcomes have been proposed recently, none are derived using decision theory. This paper describes a Bayesian decision theoretic strategy for constructing phase II designs based on both efficacy and adverse events. The gain function includes utilities assigned to patient outcomes, a reward for declaring the new treatment promising, and costs associated with the conduct of the phase II trial and future phase III testing. A method for eliciting gain function parameters from medical collaborators and for evaluating the design's frequentist operating characteristics is described. The strategy is illustrated by application to a clinical trial of peripheral blood stem cell transplantation for multiple myeloma.</div>
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