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Current Methods for Recurrent Events Data With Dependent Termination: A Bayesian Perspective

Author

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  • Sinha, Debajyoti
  • Maiti, Tapabrata
  • Ibrahim, Joseph G.
  • Ouyang, Bichun

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Suggested Citation

  • Sinha, Debajyoti & Maiti, Tapabrata & Ibrahim, Joseph G. & Ouyang, Bichun, 2008. "Current Methods for Recurrent Events Data With Dependent Termination: A Bayesian Perspective," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 866-878, June.
    • Handle: RePEc:bes:jnlasa:v:103:y:2008:m:june:p:866-878
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    Cited by:

    1. Sharad Borle & Siddharth Singh & Dipak Jain & Ashutosh Patil, 2016. "Analyzing Recurrent Customer Purchases and Unobserved Defections: a Bayesian Data Augmentation Scheme," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(1), pages 11-28, March.
    2. Tianmeng Lyu & Björn Bornkamp & Guenther Mueller‐Velten & Heinz Schmidli, 2023. "Bayesian inference for a principal stratum estimand on recurrent events truncated by death," Biometrics, The International Biometric Society, vol. 79(4), pages 3792-3802, December.
    3. Sharad Borle & Siddharth Shekhar Singh & Dipak C. Jain & Ashutosh Patil, 2016. "Analyzing Recurrent Customer Purchases and Unobserved Defections: a Bayesian Data Augmentation Scheme," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(1), pages 11-28, March.
    4. Yifei Sun & Mei-Cheng Wang, 2017. "Evaluating Utility Measurement From Recurrent Marker Processes in the Presence of Competing Terminal Events," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(518), pages 745-756, April.

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