Regarding Paper Sample size determination in clinical trials with multiple co-primary endpoints including mixed continuous and binary variables by T. Sozu, T. Sugimoto, and T. HamasakiBiometrical Journal (2012) 54(5): 716-729 Article: http://dx.doi.org/10.1002/bimj.201100221 Authors' Reply: http://dx.doi.org/10.1002/bimj.201300032 This paper recently introduced a methodology for calculating the sample size in clinical trials with multiple mixed binary and continuous co-primary endpoints modeled by the so-called conditional grouped continuous model (CGCM). The purpose of this note is to clarify certain aspects of the methodology and propose an alternative approach based on latent means tests for the binary endpoints. We demonstrate that our approach is more powerful, yielding smaller sample sizes at powers comparable to those used in the paper.
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Osaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Natl Cerebral & Cardiovasc Ctr, Res & Dev Initiat Ctr, Off Biostat & Data Management, Suita, Osaka 5658565, JapanOsaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Asakura, Koko
Hamasaki, Toshimitsu
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Osaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Natl Cerebral & Cardiovasc Ctr, Res & Dev Initiat Ctr, Off Biostat & Data Management, Suita, Osaka 5658565, JapanOsaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Hamasaki, Toshimitsu
Sugimoto, Tomoyuki
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Hirosaki Univ, Grad Sch Sci & Technol, Dept Math Sci, Aomori, JapanOsaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Sugimoto, Tomoyuki
Hayashi, Kenichi
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Osaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, JapanOsaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Hayashi, Kenichi
Evans, Scott R.
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Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
Harvard Univ, Sch Publ Hlth, Ctr Biostat AIDS Res, Boston, MA 02115 USAOsaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan
Evans, Scott R.
Sozu, Takashi
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Kyoto Univ, Sch Publ Hlth, Dept Biostat, Kyoto, JapanOsaka Univ, Grad Sch Med, Dept Biomed Stat, Osaka, Japan