Literature DB >> 25846141

Single-arm phase II trial design under parametric cure models.

Jianrong Wu1.   

Abstract

The current practice of designing single-arm phase II survival trials is limited under the exponential model. Trial design under the exponential model may not be appropriate when a portion of patients are cured. There is no literature available for designing single-arm phase II trials under the parametric cure model. In this paper, a test statistic is proposed, and a sample size formula is derived for designing single-arm phase II trials under a class of parametric cure models. Extensive simulations showed that the proposed test and sample size formula perform very well under different scenarios.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  clinical trial design; cure model; sample size; single-arm phase II trial; time-to-event

Mesh:

Year:  2015        PMID: 25846141      PMCID: PMC4667689          DOI: 10.1002/pst.1678

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  10 in total

1.  A nonparametric mixture model for cure rate estimation.

Authors:  Y Peng; K B Dear
Journal:  Biometrics       Date:  2000-03       Impact factor: 2.571

2.  Estimation in a Cox proportional hazards cure model.

Authors:  J P Sy; J M Taylor
Journal:  Biometrics       Date:  2000-03       Impact factor: 2.571

3.  Cure fraction estimation from the mixture cure models for grouped survival data.

Authors:  Binbing Yu; Ram C Tiwari; Kathleen A Cronin; Eric J Feuer
Journal:  Stat Med       Date:  2004-06-15       Impact factor: 2.373

4.  A SAS macro for parametric and semiparametric mixture cure models.

Authors:  Fabien Corbière; Pierre Joly
Journal:  Comput Methods Programs Biomed       Date:  2006-12-08       Impact factor: 5.428

5.  The large sample distribution of the weighted log rank statistic under general local alternatives.

Authors:  M Ewell; J G Ibrahim
Journal:  Lifetime Data Anal       Date:  1997       Impact factor: 1.588

6.  A generalized F mixture model for cure rate estimation.

Authors:  Y Peng; K B Dear; J W Denham
Journal:  Stat Med       Date:  1998-04-30       Impact factor: 2.373

7.  Sample size calculation for the one-sample log-rank test.

Authors:  Jianrong Wu
Journal:  Pharm Stat       Date:  2014-10-22       Impact factor: 1.894

8.  Designing clinical trials with arbitrary specification of survival functions and for the log rank or generalized Wilcoxon test.

Authors:  J Halpern; B W Brown
Journal:  Control Clin Trials       Date:  1987-09

9.  The use of mixture models for the analysis of survival data with long-term survivors.

Authors:  V T Farewell
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

10.  Sample size calculation for the proportional hazards cure model.

Authors:  Songfeng Wang; Jiajia Zhang; Wenbin Lu
Journal:  Stat Med       Date:  2012-07-11       Impact factor: 2.373

  10 in total
  1 in total

1.  Optimal two-stage design of single arm Phase II clinical trials based on median event time test.

Authors:  Yeonhee Park
Journal:  PLoS One       Date:  2021-02-08       Impact factor: 3.240

  1 in total

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