Literature DB >> 11514038

Graphical search for two-stage designs for phase II clinical trials.

S H Jung1, M Carey, K M Kim.   

Abstract

In a typical two-stage design employed in a phase II cancer clinical trial for efficacy screening, a fixed number of patients are initially enrolled. The trial may be terminated for lack of clinical efficacy of treatment if the observed number of treatment successes after the first stage is too small. Otherwise, an additional fixed number of patients are enrolled to accumulate additional information on efficacy. Simon's optimal design and minimax design have often been applied to designing phase II clinical trials. Other designs have largely been ignored. In this paper, we introduce a graphical method to search for a good design that is a compromise between the optimal and the minimax designs.

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Year:  2001        PMID: 11514038     DOI: 10.1016/s0197-2456(01)00142-8

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  18 in total

1.  A predictive probability design for phase II cancer clinical trials.

Authors:  J Jack Lee; Diane D Liu
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

2.  Improved two-stage tests for stratified phase II cancer clinical trials.

Authors:  Myron N Chang; Jonathan J Shuster; Wei Hou
Journal:  Stat Med       Date:  2012-03-16       Impact factor: 2.373

Review 3.  Statistical issues for design and analysis of single-arm multi-stage phase II cancer clinical trials.

Authors:  Sin-Ho Jung
Journal:  Contemp Clin Trials       Date:  2015-03-03       Impact factor: 2.226

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

6.  A Bayesian design for phase II clinical trials with delayed responses based on multiple imputation.

Authors:  Chunyan Cai; Suyu Liu; Ying Yuan
Journal:  Stat Med       Date:  2014-05-12       Impact factor: 2.373

7.  A new approach to designing phase I-II cancer trials for cytotoxic chemotherapies.

Authors:  Jay Bartroff; Tze Leung Lai; Balasubramanian Narasimhan
Journal:  Stat Med       Date:  2014-02-27       Impact factor: 2.373

8.  Between-arm comparisons in randomized Phase II trials.

Authors:  Sin-Ho Jung; Stephen L George
Journal:  J Biopharm Stat       Date:  2009       Impact factor: 1.051

9.  MIDAS: a practical Bayesian design for platform trials with molecularly targeted agents.

Authors:  Ying Yuan; Beibei Guo; Mark Munsell; Karen Lu; Amir Jazaeri
Journal:  Stat Med       Date:  2016-04-25       Impact factor: 2.373

10.  A two-stage phase II clinical trial design with nested criteria for early stopping and efficacy.

Authors:  Michelle DeVeaux; Michael Kane; Wei Wei; Daniel Zelterman
Journal:  Pharm Stat       Date:  2019-09-10       Impact factor: 1.894

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