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A Multistate Model for Bivariate Interval-Censored Failure Time Data

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  • Richard J. Cook
  • Leilei Zeng
  • Ker-Ai Lee

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  • Richard J. Cook & Leilei Zeng & Ker-Ai Lee, 2008. "A Multistate Model for Bivariate Interval-Censored Failure Time Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1100-1109, December.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:4:p:1100-1109
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00978.x
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    References listed on IDEAS

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    1. Datta, Somnath & Satten, Glen A., 2001. "Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models," Statistics & Probability Letters, Elsevier, vol. 55(4), pages 403-411, December.
    2. Odd O. Aalen & Ørnulf Borgan & Harald Fekjær, 2001. "Covariate Adjustment of Event Histories Estimated from Markov Chains: The Additive Approach," Biometrics, The International Biometric Society, vol. 57(4), pages 993-1001, December.
    3. M. Jamshidian & R. I. Jennrich, 2000. "Standard errors for EM estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 62(2), pages 257-270.
    4. Rebecca A. Betensky & Dianne M. Finkelstein, 2002. "Testing for Dependence Between Failure Time and Visit Compliance with Interval-Censored Data," Biometrics, The International Biometric Society, vol. 58(1), pages 58-63, March.
    5. Rebecca A. Betensky & Jane C. Lindsey & Louise M. Ryan & M. P. Wand, 1999. "Local EM Estimation of the Hazard Function for Interval-Censored Data," Biometrics, The International Biometric Society, vol. 55(1), pages 238-245, March.
    6. William B. Goggins & Dianne M. Finkelstein & Alan M. Zaslavsky, 1999. "Applying the Cox Proportional Hazards Model When the Change Time of a Binary Time-Varying Covariate Is Interval Censored," Biometrics, The International Biometric Society, vol. 55(2), pages 445-451, June.
    7. William B. Goggins & Dianne M. Finkelstein, 2000. "A Proportional Hazards Model for Multivariate Interval-Censored Failure Time Data," Biometrics, The International Biometric Society, vol. 56(3), pages 940-943, September.
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    Cited by:

    1. Chen, Baojiang & Zhou, Xiao-Hua, 2013. "A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness," Journal of Multivariate Analysis, Elsevier, vol. 117(C), pages 1-13.
    2. Patrice Takam Soh & Eugène-Patrice Ndong Nguéma & Henri Gwet & Michel Ndoumbè-Nkeng, 2013. "Smooth estimation of a lifetime distribution with competing risks by using regular interval observations: application to cocoa fruits growth," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(5), pages 741-760, November.
    3. Qingning Zhou & Tao Hu & Jianguo Sun, 2017. "A Sieve Semiparametric Maximum Likelihood Approach for Regression Analysis of Bivariate Interval-Censored Failure Time Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 664-672, April.
    4. Chun Yin Lee & Kin Yau Wong & K. F. Lam & Jinfeng Xu, 2022. "Analysis of clustered interval‐censored data using a class of semiparametric partly linear frailty transformation models," Biometrics, The International Biometric Society, vol. 78(1), pages 165-178, March.
    5. Jialiang Li & Shuangge Ma, 2010. "Interval‐censored data with repeated measurements and a cured subgroup," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(4), pages 693-705, August.

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