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Nonparametric Tests for Continuous Covariate Effects with Multistate Survival Data

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  • L. Peng
  • J. P. Fine

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  • L. Peng & J. P. Fine, 2008. "Nonparametric Tests for Continuous Covariate Effects with Multistate Survival Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1080-1089, December.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:4:p:1080-1089
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.00985.x
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    References listed on IDEAS

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    1. Vern T. Farewell & Brian D.M. Tom & Patrick Royston, 2004. "The Impact of Dichotomization on the Efficiency of Testing for an Interaction Effect in Exponential Family Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 822-831, January.
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    Cited by:

    1. Jialiang Li & Qi Zheng & Limin Peng & Zhipeng Huang, 2016. "Survival impact index and ultrahigh‐dimensional model‐free screening with survival outcomes," Biometrics, The International Biometric Society, vol. 72(4), pages 1145-1154, December.
    2. Dominic Edelmann & Thomas Welchowski & Axel Benner, 2022. "A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing," Biometrics, The International Biometric Society, vol. 78(3), pages 867-879, September.
    3. David Todem & Wei‐Wen Hsu & KyungMann Kim, 2023. "Nonparametric scanning tests of homogeneity for hierarchical models with continuous covariates," Biometrics, The International Biometric Society, vol. 79(3), pages 2063-2075, September.
    4. Jialiang Li & Zhipeng Huang & Shuangge Ma & Mei-Ling Ting Lee, 2016. "Collective versus Individual Effects in Survival Analysis of Multiple Failures," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(2), pages 543-557, June.

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