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- W1547318673 abstract "Consider designing a clinical trial in stages; say there are r stages and a total of ? patients in the trial. There are two treatments available for use with any of the patients in the trial. Responses are dichotomous. The objective is to maximize the expected number of successes in the trial. The decision problem is to choose a number of patients to allocate to the next stage and to decide how the two treatments should be allocated within this stage as a function of TV, r and the current information. Information is updated via Bayes theorem after each stage, and all available information is used in determinng the design for the next stage. Responses from selections in previous stages are available and can be considered, but responses in the current stage are not available until the selections are to be made for the next stage. We show that optimal designs have certain monotonicity properties and characterize the class of optimal strategies for particular N, r and prior distributions." @default.
- W1547318673 created "2016-06-24" @default.
- W1547318673 creator A5073571977 @default.
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- W1547318673 date "1995-01-01" @default.
- W1547318673 modified "2023-10-16" @default.
- W1547318673 title "Optimal designs for clinical trials in stages" @default.
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- W1547318673 doi "https://doi.org/10.1214/lnms/1215451482" @default.
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