Literature DB >> 7407793

Design of phase II clinical trials in cancer using decision theory.

R J Sylvester, M J Staquet.   

Abstract

An application of decision theory to the design of phase II clinical trials in cancer is presented. A risk function which depends on the prior distribution of the response rate, the costs of treating a patient, and the gains or losses resulting from the decision taken upon completion of the study is derived and optimal restricted sampling plans for a response rate of 20% are provided.

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Year:  1980        PMID: 7407793

Source DB:  PubMed          Journal:  Cancer Treat Rep        ISSN: 0361-5960


  2 in total

1.  Bayesian decision theoretic two-stage design in phase II clinical trials with survival endpoint.

Authors:  Lili Zhao; Jeremy M G Taylor; Scott M Schuetze
Journal:  Stat Med       Date:  2012-02-23       Impact factor: 2.373

Review 2.  Decision-theoretic designs for small trials and pilot studies: A review.

Authors:  Siew Wan Hee; Thomas Hamborg; Simon Day; Jason Madan; Frank Miller; Martin Posch; Sarah Zohar; Nigel Stallard
Journal:  Stat Methods Med Res       Date:  2015-06-05       Impact factor: 3.021

  2 in total

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