Clinical trial design enabling {\epsilon}-optimal treatment rules

@inproceedings{Manski2015ClinicalTD,
  title={Clinical trial design enabling \{\epsilon\}-optimal treatment rules},
  author={Charles F. Manski and Aleksey Tetenov},
  year={2015}
}
Medical research has evolved conventions for choosing sample size in randomized clinical trials that rest on the theory of hypothesis testing. Bayesians have argued that trials should be designed to maximize subjective expected utility in settings of clinical interest. This perspective is compelling given a credible prior distribution on treatment response, but Bayesians have struggled to provide guidance on specification of priors. We use the frequentist statistical decision theory of Wald… Expand
Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing
  • C. Manski
  • Psychology
  • The American Statistician
  • 2019
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