Literature DB >> 25339496

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

Jianrong Wu1.   

Abstract

In this paper, an exact variance of the one-sample log-rank test statistic is derived under the alternative hypothesis, and a sample size formula is proposed based on the derived exact variance. Simulation results showed that the proposed sample size formula provides adequate power to design a study to compare the survival of a single sample with that of a standard population.
Copyright © 2014 John Wiley & Sons, Ltd.

Keywords:  counting process; one-sample log-rank test; sample size formula; standard population; time to event

Mesh：

Year:  2014        PMID： 25339496     DOI： 10.1002/pst.1654

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


  15 in total

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

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Journal:  Pharm Stat       Date:  2015-04-01       Impact factor: 1.894

2.  Single-arm Phase II cancer survival trial designs.

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Journal:  J Biopharm Stat       Date:  2015-06-22       Impact factor: 1.051

3.  Two-stage optimal designs based on exact variance for a single-arm trial with survival endpoints.

Authors:  Guogen Shan
Journal:  J Biopharm Stat       Date:  2020-03-04       Impact factor: 1.051

4.  Sample size calculations for noninferiority trials for time-to-event data using the concept of proportional time.

Authors:  Milind A Phadnis; Matthew S Mayo
Journal:  J Appl Stat       Date:  2020-04-24       Impact factor: 1.416

5.  Two-stage phase II survival trial design.

Authors:  Jianrong Wu; Li Chen; Jing Wei; Heidi Weiss; Aman Chauhan
Journal:  Pharm Stat       Date:  2019-11-21       Impact factor: 1.234

6.  Bayesian single-arm phase II trial designs with time-to-event endpoints.

Authors:  Jianrong Wu; Haitao Pan; Chia-Wei Hsu
Journal:  Pharm Stat       Date:  2021-06-04       Impact factor: 1.234

7.  Sample size calculation for two-arm trials with time-to-event endpoint for nonproportional hazards using the concept of Relative Time when inference is built on comparing Weibull distributions.

Authors:  Milind A Phadnis; Matthew S Mayo
Journal:  Biom J       Date:  2021-07-17       Impact factor: 1.715

8.  Sample size calculation for small sample single-arm trials for time-to-event data: Logrank test with normal approximation or test statistic based on exact chi-square distribution?

Authors:  Milind A Phadnis
Journal:  Contemp Clin Trials Commun       Date:  2019-04-13

9.  Efficacy and Safety of Ibrutinib in Central Nervous System Lymphoma: A PRISMA-Compliant Single-Arm Meta-Analysis.

Authors:  Liwei Lv; Xuefei Sun; Yuchen Wu; Qu Cui; Yuedan Chen; Yuanbo Liu
Journal:  Front Oncol       Date:  2021-07-01       Impact factor: 6.244

10.  A two-stage design for phase II trials with time-to-event endpoint using restricted follow-up.

Authors:  Lisa Belin; Yann De Rycke; Philippe Broët
Journal:  Contemp Clin Trials Commun       Date:  2017-10-01
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