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Journal of Biopharmaceutical Statistics Volume 29, 2019 - Issue 1
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Statistical methods for survival trial design: with applications to cancer clinical trial using R

Jun ParkDepartment of Biostatistics, Richard M. Fairbanks School of Public health, Indiana University, Indianapolis, IN, USACorrespondence[email protected]
&
Misoo C. EllisonMerck & Co., Inc., Kenilworth, NJ, USA
Pages 226-227 | Published online: 21 Dec 2018

References

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  • Li, J., and S. Ma. 2013. Survival analysis in medicine and genetics. Boca Raton: Chapman & Hall/CRC.
  • Xiong, X. 1995. A class of sequential conditional probability ratio tests. Journal of the American Statistical Association 90 (432):1463–1473. doi:10.1080/01621459.1995.10476653
  • Xiong, X., M. Tan, and J. Boyett. 2003. Sequential conditional probability ratio tests for normalized test statistic on information time. Biometrics 59:624–631. doi:10.1111/1541-0420.00072
  • Young, W. R., and D. Chen. 2015. Clinical trial biostatistics and biopharmaceutical applications. Boca Raton: Chapman & Hall/CRC.
  • Zubrod, C. G., M. Scheneiderman, E. Frei III., C. Brindley, G. L. Gold, B. Shnider, R. Oliedo, J. Gorman, R. Jones Jr., U. Jonsson, et al. 1960. Appraisal of methods for the study of chemotherapy of cancer in man: comparative therapeutic trial of nitrogen mustard and triethylene thiophosphoramide. Journal of Chronic Diseases 11(1):7–33. doi:10.1016/0021-9681(60)90137-5

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