Literature DB >> 9750258

Optimal two-stage design for a series of pilot trials of new agents.

T J Yao1, E S Venkatraman.   

Abstract

An approach to determine the appropriate sample sizes for a series of screening trials to identify promising new therapeutic agents was presented by Yao, Begg, and Livingston (1996, Biometrics 52, 992-1001). This approach is now improved to a two-stage design that further minimizes the time to identify a promising agent under fixed error rates. When applied to data from the historical experience of exploratory vaccination trials at Memorial Sloan-Kettering Cancer Center, the method demonstrates that relatively small individual screening trials are optimal. The reliability of the results is evaluated using the bootstrap.

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Year:  1998        PMID: 9750258

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  4 in total

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2.  Proper inference from Simon's two-stage designs.

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Journal:  Stat Med       Date:  2008-07-20       Impact factor: 2.373

3.  Bayesian optimal design for phase II screening trials.

Authors:  Meichun Ding; Gary L Rosner; Peter Müller
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4.  A Bayesian pick-the-winner design in a randomized phase II clinical trial.

Authors:  Dung-Tsa Chen; Po-Yu Huang; Hui-Yi Lin; Alberto A Chiappori; Dmitry I Gabrilovich; Eric B Haura; Scott J Antonia; Jhanelle E Gray
Journal:  Oncotarget       Date:  2017-07-07
  4 in total

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