A logrank test-based method for sizing clinical trials with two co-primary time-to-event endpoints

Author:

Sugimoto Tomoyuki1,Sozu Takashi2,Hamasaki Toshimitsu3,Evans Scott R.4

Affiliation:

1. Department of Mathematical Sciences, Hirosaki University Graduate School of Science and Technology, 3 Bunkyocho, Hirosaki, Aomori 036-8561, Japan

2. Department of Biostatistics, Kyoto University School of Public Heath, Kyoto 606-8501, Japan

3. Department of Biomedical Statistics, Osaka University Graduate School of Medicine, Suita 565-0871, Japan

4. Department of Biostatistics, Harvard University School of Public Heath, Boston, MA 02115-6018, USA

Funder

JSPS KAKENHI

Pfizer Health Research Foundation, Japan

Data Management Center of the Adult AIDS Clinical Trials Group

Publisher

Oxford University Press (OUP)

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference14 articles.

1. Table of the number of patients required in clinical trials using the logrank test;Freedman;Statistics in Medicine,1982

2. Sample size determination for clinical trials with co-primary endpoints: exponential event times;Hamasaki;Pharmaceutical Statistics,2012

3. Comparing sample size formulae for trials with unbalanced allocation using the logrank test;Hsieh;Statistics in Medicine,1992

4. On assessing the strength of dependency between failure time variables;Hsu;Biometrika,1996

5. Some controversial multiple testing problems in regulatory applications;Hung;Journal of Biopharmaceutical Statistics,2009

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