Literature DB >> 15032783

Design and analysis of group sequential clinical trials with multiple primary endpoints.

Michael R Kosorok1, Shi Yuanjun, David L DeMets.   

Abstract

In many phase III clinical trials, it is desirable to separately assess the treatment effect on two or more primary endpoints. Consider the MERIT-HF study, where two endpoints of primary interest were time to death and the earliest of time to first hospitalization or death (The International Steering Committee on Behalf of the MERIT-HF Study Group, 1997, American Journal of Cardiology 80[9B], 54J-58J). It is possible that treatment has no effect on death but a beneficial effect on first hospitalization time, or it has a detrimental effect on death but no effect on hospitalization. A good clinical trial design should permit early stopping as soon as the treatment effect on both endpoints becomes clear. Previous work in this area has not resolved how to stop the study early when one or more endpoints have no treatment effect or how to assess and control the many possible error rates for concluding wrong hypotheses. In this article, we develop a general methodology for group sequential clinical trials with multiple primary endpoints. This method uses a global alpha-spending function to control the overall type I error and a multiple decision rule to control error rates for concluding wrong alternative hypotheses. The method is demonstrated with two simulated examples based on the MERIT-HF study.

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Year:  2004        PMID: 15032783     DOI: 10.1111/j.0006-341X.2004.00146.x

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


  14 in total

1.  Exact sequential analysis for multiple weighted binomial end points.

Authors:  Ivair R Silva; Joshua J Gagne; Mehdi Najafzadeh; Martin Kulldorff
Journal:  Stat Med       Date:  2019-11-25       Impact factor: 2.373

2.  Evaluation of the conjoint efficacy in Chinese medicine with the longitudinal latent variable linear mixed model.

Authors:  Dan-Hui Yi; Yang Li; Shu-Xin Shao; Yan-Ming Xie; Ya Yuwen
Journal:  Chin J Integr Med       Date:  2012-04-26       Impact factor: 1.978

3.  Statistical monitoring of clinical trials with multivariate response and/or multiple arms: a flexible approach.

Authors:  Lihui Zhao; X Joan Hu; Stephen W Lagakos
Journal:  Biostatistics       Date:  2008-11-16       Impact factor: 5.899

4.  Longitudinal clinical trials with adaptive choice of follow-up time.

Authors:  Neal Jeffries; Nancy L Geller
Journal:  Biometrics       Date:  2015-03-27       Impact factor: 2.571

5.  Group-sequential logrank methods for trial designs using bivariate non-competing event-time outcomes.

Authors:  Tomoyuki Sugimoto; Toshimitsu Hamasaki; Scott R Evans; Susan Halabi
Journal:  Lifetime Data Anal       Date:  2019-04-12       Impact factor: 1.588

6.  Assessing the impact of safety monitoring on the efficacy analysis in large Phase III group sequential trials with non-trivial safety event rate.

Authors:  Yanqiu Weng; Yuko Y Palesch; Stacia M DeSantis; Wenle Zhao
Journal:  J Biopharm Stat       Date:  2015-05-26       Impact factor: 1.051

7.  Interim evaluation of efficacy or futility in group-sequential trials with multiple co-primary endpoints.

Authors:  Koko Asakura; Toshimitsu Hamasaki; Scott R Evans
Journal:  Biom J       Date:  2016-10-19       Impact factor: 2.207

Review 8.  Balancing risk and benefit in venous thromboembolism trials: concept for a bivariate endpoint trial design and analytic approach.

Authors:  J M Kittelson; A C Spyropoulos; J L Halperin; C M Kessler; S Schulman; G Steg; A G G Turpie; N R Cutler; W R Hiatt; N A Goldenberg
Journal:  J Thromb Haemost       Date:  2013-08       Impact factor: 5.824

9.  Bayesian Group Sequential Clinical Trial Design using Total Toxicity Burden and Progression-Free Survival.

Authors:  Brian P Hobbs; Peter F Thall; Steven H Lin
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2015-10-26       Impact factor: 1.864

10.  Impact of safety monitoring on error probabilities of binary efficacy outcome analyses in large phase III group sequential trials.

Authors:  Yanqiu Weng; Wenle Zhao; Yuko Palesch
Journal:  Pharm Stat       Date:  2012-05-16       Impact factor: 1.894

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