Literature DB >> 33927801

Statistical Considerations for Sequential Analysis of the Restricted Mean Survival Time for Randomized Clinical Trials.

Ying Lu1, Lu Tian1.   

Abstract

In this paper, we illustrate the method of designing a group-sequential randomized clinical trial based on the difference in restricted mean survival time (RMST). The procedure is based on theoretical formulations of Murray and Tsiatis (1999). We also present a numerical example in designing a cardiology surgical trial. Various practical considerations are discussed. R codes are provided in the Supplementary Materials. We conclude that the group-sequential design for RMST is a viable option in practice. A simulation study is performed to compare the proposed method to the Max-Combo and conventional log-rank tests. The simulation result shows that when there is a delayed treatment benefit and the proportional hazards assumption is untrue, the sequential design based on the RMST can be more efficient than that based on the log-rank test but less efficient than that based on the Max-Combo test. Compared with Max-Combo test, the RMST-based study design yield coherent estimand, statistical inference and result interpretation.

Entities:  

Keywords:  Group Sequential Design; Interim Analysis; Restricted Mean Survival Time (RMST); Sample Size

Year:  2020        PMID: 33927801      PMCID: PMC8078843          DOI: 10.1080/19466315.2020.1816491

Source DB:  PubMed          Journal:  Stat Biopharm Res        ISSN: 1946-6315            Impact factor:   1.452


  18 in total

1.  Sequential methods for comparing years of life saved in the two-sample censored data problem.

Authors:  S Murray; A A Tsiatis
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

2.  An efficient alternative to the stratified Cox model analysis.

Authors:  Devan V Mehrotra; Shu-Chih Su; Xiaoming Li
Journal:  Stat Med       Date:  2012-03-22       Impact factor: 2.373

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Journal:  Eur Urol       Date:  2019-04-26       Impact factor: 20.096

4.  Quantification of Long-term Survival Benefit in a Comparative Oncology Clinical Study.

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Journal:  JAMA Oncol       Date:  2018-06-01       Impact factor: 31.777

5.  Moving beyond the hazard ratio in quantifying the between-group difference in survival analysis.

Authors:  Hajime Uno; Brian Claggett; Lu Tian; Eisuke Inoue; Paul Gallo; Toshio Miyata; Deborah Schrag; Masahiro Takeuchi; Yoshiaki Uyama; Lihui Zhao; Hicham Skali; Scott Solomon; Susanna Jacobus; Michael Hughes; Milton Packer; Lee-Jen Wei
Journal:  J Clin Oncol       Date:  2014-06-30       Impact factor: 44.544

6.  Pembrolizumab for the treatment of non-small-cell lung cancer.

Authors:  Edward B Garon; Naiyer A Rizvi; Rina Hui; Natasha Leighl; Ani S Balmanoukian; Joseph Paul Eder; Amita Patnaik; Charu Aggarwal; Matthew Gubens; Leora Horn; Enric Carcereny; Myung-Ju Ahn; Enriqueta Felip; Jong-Seok Lee; Matthew D Hellmann; Omid Hamid; Jonathan W Goldman; Jean-Charles Soria; Marisa Dolled-Filhart; Ruth Z Rutledge; Jin Zhang; Jared K Lunceford; Reshma Rangwala; Gregory M Lubiniecki; Charlotte Roach; Kenneth Emancipator; Leena Gandhi
Journal:  N Engl J Med       Date:  2015-04-19       Impact factor: 91.245

7.  Designs for group sequential tests.

Authors:  T R Fleming; D P Harrington; P C O'Brien
Journal:  Control Clin Trials       Date:  1984-12

8.  Efficiency of two sample tests via the restricted mean survival time for analyzing event time observations.

Authors:  Lu Tian; Haoda Fu; Stephen J Ruberg; Hajime Uno; Lee-Jen Wei
Journal:  Biometrics       Date:  2017-09-12       Impact factor: 2.571

9.  Alternatives to Hazard Ratios for Comparing the Efficacy or Safety of Therapies in Noninferiority Studies.

Authors:  Hajime Uno; Janet Wittes; Haoda Fu; Scott D Solomon; Brian Claggett; Lu Tian; Tianxi Cai; Marc A Pfeffer; Scott R Evans; Lee-Jen Wei
Journal:  Ann Intern Med       Date:  2015-07-21       Impact factor: 25.391

10.  On the empirical choice of the time window for restricted mean survival time.

Authors:  Lu Tian; Hua Jin; Hajime Uno; Ying Lu; Bo Huang; Keaven M Anderson; L J Wei
Journal:  Biometrics       Date:  2020-02-26       Impact factor: 2.571

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