Literature DB >> 24676799

Sample size determination in group-sequential clinical trials with two co-primary endpoints.

Koko Asakura1, Toshimitsu Hamasaki, Tomoyuki Sugimoto, Kenichi Hayashi, Scott R Evans, Takashi Sozu.   

Abstract

We discuss sample size determination in group-sequential designs with two endpoints as co-primary. We derive the power and sample size within two decision-making frameworks. One is to claim the test intervention's benefit relative to control when superiority is achieved for the two endpoints at the same interim timepoint of the trial. The other is when superiority is achieved for the two endpoints at any interim timepoint, not necessarily simultaneously. We evaluate the behaviors of sample size and power with varying design elements and provide a real example to illustrate the proposed sample size methods. In addition, we discuss sample size recalculation based on observed data and evaluate the impact on the power and Type I error rate.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Cui-Hung-Wang statistics; Type I error; average sample number; co-primary endpoints; conditional power; group-sequential methods; maximum sample size; sample size recalculation

Mesh:

Substances:

Year:  2014        PMID: 24676799      PMCID: PMC4082481          DOI: 10.1002/sim.6154

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  22 in total

1.  Modification of sample size in group sequential clinical trials.

Authors:  L Cui; H M Hung; S J Wang
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2.  Closed testing procedures for group sequential clinical trials with multiple endpoints.

Authors:  D I Tang; N L Geller
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3.  Dependence, hyper-dependence and hypothesis testing in clinical trials.

Authors:  Lemuel A Moyé; Sarah Baraniuk
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4.  Challenge of multiple co-primary endpoints: a new approach.

Authors:  Christy Chuang-Stein; Paul Stryszak; Alex Dmitrienko; Walter Offen
Journal:  Stat Med       Date:  2007-03-15       Impact factor: 2.373

5.  Power and sample size when multiple endpoints are considered.

Authors:  Stephen Senn; Frank Bretz
Journal:  Pharm Stat       Date:  2007 Jul-Sep       Impact factor: 1.894

6.  The Alzheimer's Disease Assessment Scale: patterns and predictors of baseline cognitive performance in multicenter Alzheimer's disease trials.

Authors:  P M Doraiswamy; F Bieber; L Kaiser; K R Krishnan; J Reuning-Scherer; B Gulanski
Journal:  Neurology       Date:  1997-06       Impact factor: 9.910

7.  Group sequential tests for bivariate response: interim analyses of clinical trials with both efficacy and safety endpoints.

Authors:  C Jennison; B W Turnbull
Journal:  Biometrics       Date:  1993-09       Impact factor: 2.571

8.  A multiple testing procedure for clinical trials.

Authors:  P C O'Brien; T R Fleming
Journal:  Biometrics       Date:  1979-09       Impact factor: 2.571

9.  Power and sample size for clinical trials when efficacy is required in multiple endpoints: application to an Alzheimer's treatment trial.

Authors:  Chengjie Xiong; Kai Yu; Feng Gao; Yan Yan; Zhengjun Zhang
Journal:  Clin Trials       Date:  2005       Impact factor: 2.486

10.  Sample size determination for clinical trials with co-primary outcomes: exponential event times.

Authors:  Toshimitsu Hamasaki; Tomoyuki Sugimoto; Scott Evans; Takashi Sozu
Journal:  Pharm Stat       Date:  2012-10-19       Impact factor: 1.894

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  11 in total

Review 1.  Design, data monitoring, and analysis of clinical trials with co-primary endpoints: A review.

Authors:  Toshimitsu Hamasaki; Scott R Evans; Koko Asakura
Journal:  J Biopharm Stat       Date:  2017-10-30       Impact factor: 1.051

2.  Group-Sequential Strategies in Clinical Trials with Multiple Co-Primary Outcomes.

Authors:  Toshimitsu Hamasaki; Koko Asakura; Scott R Evans; Tomoyuki Sugimoto; Takashi Sozu
Journal:  Stat Biopharm Res       Date:  2015       Impact factor: 1.452

Review 3.  Adaptive Designs for Clinical Trials: Application to Healthcare Epidemiology Research.

Authors:  W Charles Huskins; Vance G Fowler; Scott Evans
Journal:  Clin Infect Dis       Date:  2018-03-19       Impact factor: 9.079

4.  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

5.  Fundamentals and Catalytic Innovation: The Statistical and Data Management Center of the Antibacterial Resistance Leadership Group.

Authors:  Jacqueline Huvane; Lauren Komarow; Carol Hill; Thuy Tien T Tran; Carol Pereira; Susan L Rosenkranz; Matt Finnemeyer; Michelle Earley; Hongyu Jeanne Jiang; Rui Wang; Judith Lok; Scott R Evans
Journal:  Clin Infect Dis       Date:  2017-03-15       Impact factor: 9.079

6.  Sample Size Considerations in Clinical Trials when Comparing Two Interventions using Multiple Co-Primary Binary Relative Risk Contrasts.

Authors:  Yuki Ando; Toshimitsu Hamasaki; Scott R Evans; Koko Asakura; Tomoyuki Sugimoto; Takashi Sozu; Yuko Ohno
Journal:  Stat Biopharm Res       Date:  2015-06-24       Impact factor: 1.452

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

8.  Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep.

Authors:  Jean Feng; Scott Emerson; Noah Simon
Journal:  Biometrics       Date:  2020-10-11       Impact factor: 2.571

9.  Interim Monitoring for Futility in Clinical Trials with Two Co-primary Endpoints Using Prediction.

Authors:  Koko Asakura; Scott R Evans; Toshimitsu Hamasaki
Journal:  Stat Biopharm Res       Date:  2019-11-04       Impact factor: 1.452

10.  On selecting the critical boundary functions in group-sequential trials with two time-to-event outcomes.

Authors:  Toshimitsu Hamasaki; H M James Hung; Chin-Fu Hsiao; Scott R Evans
Journal:  Contemp Clin Trials       Date:  2020-12-09       Impact factor: 2.226

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