Literature DB >> 16777694

Phase II clinical trials in oncology: strengths and limitations of two-stage designs.

James J Schlesselman1, Isildinha M Reis.   

Abstract

Two-stage designs are used widely in Phase II oncology clinical trials to reduce the number of patients placed on ineffective experimental therapies. They provide clear-cut rules for stopping early in the event that treatment is not succeeding as hoped and are relatively simple to implement. Such designs, however, can lead to situations in which patient accrual is continued in the face of a clearly inferior treatment. In situations where patients' response can be determined for many or most subjects before additional patients are enrolled, analyses using Bayesian methodology can lead to earlier termination of studies of ineffective treatments and better align the statistical assessment of treatment effect with the therapeutic objectives of study. These points are discussed in context of the role of Phase II clinical trials in the development of new treatments for cancer.

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Year:  2006        PMID: 16777694     DOI: 10.1080/07357900600705516

Source DB:  PubMed          Journal:  Cancer Invest        ISSN: 0735-7907            Impact factor:   2.176


  5 in total

Review 1.  Statistical issues in clinical trial design.

Authors:  Kenneth R Hess
Journal:  Curr Oncol Rep       Date:  2007-01       Impact factor: 5.075

2.  Suspension of accrual in phase II cancer clinical trials.

Authors:  Yimei Li; Rosemarie Mick; Daniel F Heitjan
Journal:  Clin Trials       Date:  2015-01-07       Impact factor: 2.486

3.  Extended two-stage adaptive designs with three target responses for phase II clinical trials.

Authors:  Seongho Kim; Weng Kee Wong
Journal:  Stat Methods Med Res       Date:  2017-05-23       Impact factor: 3.021

4.  Smaller sample sizes for phase II trials based on exact tests with actual error rates by trading-off their nominal levels of significance and power.

Authors:  I Khan; S-J Sarker; A Hackshaw
Journal:  Br J Cancer       Date:  2012-11-20       Impact factor: 7.640

5.  A Bayesian approach for unplanned sample sizes in phase II cancer clinical trials.

Authors:  Yimei Li; Rosemarie Mick; Daniel F Heitjan
Journal:  Clin Trials       Date:  2012-04-20       Impact factor: 2.486

  5 in total

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