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Competing Risks Regression for Stratified Data

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  • Bingqing Zhou
  • Aurelien Latouche
  • Vanderson Rocha
  • Jason Fine

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  • Bingqing Zhou & Aurelien Latouche & Vanderson Rocha & Jason Fine, 2011. "Competing Risks Regression for Stratified Data," Biometrics, The International Biometric Society, vol. 67(2), pages 661-670, June.
    • Handle: RePEc:bla:biomet:v:67:y:2011:i:2:p:661-670
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2010.01493.x
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    References listed on IDEAS

    as
    1. Bingshu E. Chen & Joan L. Kramer & Mark H. Greene & Philip S. Rosenberg, 2008. "Competing Risks Analysis of Correlated Failure Time Data," Biometrics, The International Biometric Society, vol. 64(1), pages 172-179, March.
    2. Thomas H. Scheike & Yanqing Sun & Mei-Jie Zhang & Tina Kold Jensen, 2010. "A semiparametric random effects model for multivariate competing risks data," Biometrika, Biometrika Trust, vol. 97(1), pages 133-145.
    3. John P. Klein & Per Kragh Andersen, 2005. "Regression Modeling of Competing Risks Data Based on Pseudovalues of the Cumulative Incidence Function," Biometrics, The International Biometric Society, vol. 61(1), pages 223-229, March.
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    Citations

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    Cited by:

    1. Zhixuan Fu & Chirag R. Parikh & Bingqing Zhou, 2017. "Penalized variable selection in competing risks regression," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(3), pages 353-376, July.
    2. Adane F. Wogu & Haolin Li & Shanshan Zhao & Hazel B. Nichols & Jianwen Cai, 2023. "Additive subdistribution hazards regression for competing risks data in case‐cohort studies," Biometrics, The International Biometric Society, vol. 79(4), pages 3010-3022, December.
    3. Yayun Xu & Soyoung Kim & Mei-Jie Zhang & David Couper & Kwang Woo Ahn, 2022. "Competing risks regression models with covariates-adjusted censoring weight under the generalized case-cohort design," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(2), pages 241-262, April.
    4. Swihart, Bruce J. & Punjabi, Naresh M. & Crainiceanu, Ciprian M., 2015. "Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 1-11.
    5. Soyoung Kim & Yayun Xu & Mei‐Jie Zhang & Kwang‐Woo Ahn, 2020. "Stratified proportional subdistribution hazards model with covariate‐adjusted censoring weight for case‐cohort studies," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1222-1242, December.
    6. Kim, Kyung-Hwan & You, Seung Dong, 2021. "The Global Financial Crisis and transition out of homeownership in Korea," Journal of Housing Economics, Elsevier, vol. 54(C).
    7. Martin Gaksch & Rolf Jorde & Guri Grimnes & Ragnar Joakimsen & Henrik Schirmer & Tom Wilsgaard & Ellisiv B Mathiesen & Inger Njølstad & Maja-Lisa Løchen & Winfried März & Marcus E Kleber & Andreas Tom, 2017. "Vitamin D and mortality: Individual participant data meta-analysis of standardized 25-hydroxyvitamin D in 26916 individuals from a European consortium," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-15, February.
    8. Michael J. Martens & Soyoung Kim & Kwang Woo Ahn, 2023. "Sample size and power determination for multiparameter evaluation in nonlinear regression models with potential stratification," Biometrics, The International Biometric Society, vol. 79(4), pages 3916-3928, December.
    9. Zhixuan Fu & Shuangge Ma & Haiqun Lin & Chirag R. Parikh & Bingqing Zhou, 2017. "Penalized Variable Selection for Multi-center Competing Risks Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 9(2), pages 379-405, December.

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