Erratum: A logrank test-based method for sizing clinical trials with two co-primary time-To-event endpoints (Biostatistics DOI: 10.1093/biostatistics/kxs057);A logrank test-based method for sizing clinical trials with two co-primary time-to-event endpoints

Biostatistics

Volumn 14, Issue 3, 2013, Pages 409-421

  Sugimoto, Tomoyuki ^a   Sozu, Takashi ^b   Hamasaki, Toshimitsu ^c   Evans, Scott R ^d  

^a HIROSAKI UNIVERSITY   (Japan)

^b KYOTO UNIVERSITY SCHOOL OF PUBLIC HEALTH   (Japan)

^c OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^d HARVARD UNIVERSITY   (United States)

Author keywords

Bivariate dependence; Censored data; Copula model; Logrank statistic; Power

Indexed keywords

EID: 84879101578     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxw021     Document Type: Erratum

References (14)

1. FREEDMAN, L. S. (1982). Table of the number of patients required in clinical trials using the logrank test. Statistics in Medicine 1, 121-129
2. HAMASAKI, T., SUGIMOTO, T., EVANS, S. AND SOZU, T. (2012). Sample size determination for clinical trials with coprimary endpoints: exponential event times. Pharmaceutical Statistics (Article first published online: 19 Octobe 2012 as doi: 10.1002/pst.1545).
3. HSIEH, F. Y. (1992). Comparing sample size formulae for trials with unbalanced allocation using the logrank test. Statistics in Medicine 11, 1091-1098.
4. HSU, L. AND PRENTICE, R. L. (1996). On assessing the strength of dependency between failure time variables. Biometrika 83, 491-506
5. HUNG, H. M. J. AND WANG, S. J. (2009). Some controversial multiple testing problems in regulatory applications. Journal of Biopharmaceutical Statistics 19, 1-11
6. KELLERER, A. M. AND CHMELEVSKY, D. (1983). Small-sample properties of censored-data rank tests. Biometrics 39, 675-682
7. KORDZAKHIA, G., SIDDIQUI, O. AND HUQUE, M. F. (2010). Method of balanced adjustment in testing co-primary endpoints. Statistics in Medicine 29, 2055-2066
8. OFFEN, W., CHUANG-STEIN, C., DMITRIENKO, A., LITTMAN, G., MACA, J., MEYERSON, L., MUIRHEAD, R., STRYSZAK, P., BODDY, A., CHEN, K. and others (2007). Multiple co-primary endpoints: medical and statistical solutions. Drug Information Journal 41, 31-46
9. SHIH, J. H. AND LOUIS, T. A. (1995). Inferences on the association parameter in copula models for bivariate survival data. Biometrics 51, 1384-1399
10. SOZU, T., KANOU, T., HAMADA, C. AND YOSHIMURA, I. (2006). Power and sample size calculations in clinical trials with multiple primary variables. Japanese Journal of Biometrics 27, 83-96
11. SOZU, T., SUGIMOTO, T. AND HAMASAKI, T. (2010) Sample size determination in clinical trials with multiple co-primary binary endpoints. Statistics in Medicine 29, 2169-2179
12. STRAWDERMAN, R. L. (1997). An asymptotic analysis of the logrank test. Lifetime Data Analysis 3, 225-249
13. SUGIMOTO, T., SOZU, T. AND HAMASAKI, T. (2012). A convenient formula for sample size calculations in clinical trials with multiple co-primary continuous endpoints. Pharmaceutical Statistics 11, 118-128
14. XIONG, C., YU, K., GAO, F., YAN, Y. AND ZHANG, Z. (2005). Power and sample size for clinical trials when efficacy is required in multiple endpoints: application to an Alzheimer's treatment trial. Clinical Trials 2, 387-393