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An alternative approach to confidence interval estimation for the win ratio statistic

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  • Xiaodong Luo
  • Hong Tian
  • Surya Mohanty
  • Wei Yann Tsai

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  • Xiaodong Luo & Hong Tian & Surya Mohanty & Wei Yann Tsai, 2015. "An alternative approach to confidence interval estimation for the win ratio statistic," Biometrics, The International Biometric Society, vol. 71(1), pages 139-145, March.
    • Handle: RePEc:bla:biomet:v:71:y:2015:i:1:p:139-145
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    File URL: http://hdl.handle.net/10.1111/biom.12225
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    References listed on IDEAS

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    1. Donglin Zeng & D. Y. Lin, 2009. "Semiparametric Transformation Models with Random Effects for Joint Analysis of Recurrent and Terminal Events," Biometrics, The International Biometric Society, vol. 65(3), pages 746-752, September.
    2. B. J. Cowling & J. L. Hutton & J. E. H. Shaw, 2006. "Joint modelling of event counts and survival times," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(1), pages 31-39, January.
    3. Debashis Ghosh & D. Y. Lin, 2000. "Nonparametric Analysis of Recurrent Events and Death," Biometrics, The International Biometric Society, vol. 56(2), pages 554-562, June.
    4. Lei Liu & Robert A. Wolfe & Xuelin Huang, 2004. "Shared Frailty Models for Recurrent Events and a Terminal Event," Biometrics, The International Biometric Society, vol. 60(3), pages 747-756, September.
    5. Jinfeng Xu & John D. Kalbfleisch & Beechoo Tai, 2010. "Statistical Analysis of Illness–Death Processes and Semicompeting Risks Data," Biometrics, The International Biometric Society, vol. 66(3), pages 716-725, September.
    6. Limin Peng & Jason P. Fine, 2007. "Regression Modeling of Semicompeting Risks Data," Biometrics, The International Biometric Society, vol. 63(1), pages 96-108, March.
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    Cited by:

    1. Lu Mao & Tuo Wang, 2021. "A class of proportional win‐fractions regression models for composite outcomes," Biometrics, The International Biometric Society, vol. 77(4), pages 1265-1275, December.
    2. Lu Mao, 2019. "On the alternative hypotheses for the win ratio," Biometrics, The International Biometric Society, vol. 75(1), pages 347-351, March.
    3. Lu Mao & KyungMann Kim & Xinran Miao, 2022. "Sample size formula for general win ratio analysis," Biometrics, The International Biometric Society, vol. 78(3), pages 1257-1268, September.
    4. Dennis Dobler & Markus Pauly, 2018. "Bootstrap- and permutation-based inference for the Mann–Whitney effect for right-censored and tied data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 639-658, September.
    5. Xiaodong Luo & Hui Quan, 2020. "Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 12(2), pages 216-224, July.
    6. Xiaodong Luo & Hong Tian & Surya Mohanty & Wei Yann Tsai, 2019. "Rejoinder to “on the alternative hypotheses for the win ratio”," Biometrics, The International Biometric Society, vol. 75(1), pages 352-354, March.

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