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A simulation procedure based on copulas to generate clustered multi-state survival data

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  • Rotolo, Federico
  • Legrand, Catherine
  • Van Keilegom, Ingrid

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  • Rotolo, Federico & Legrand, Catherine & Van Keilegom, Ingrid, 2013. "A simulation procedure based on copulas to generate clustered multi-state survival data," LIDAM Reprints ISBA 2013021, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2013021
    Note: In : Computer methods and programs in biomedicine, vol. 109, no. 3, p. 305-312 (2013)
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    Cited by:

    1. Annalisa Orenti & Patrizia Boracchi & Giuseppe Marano & Elia Biganzoli & Federico Ambrogi, 2022. "A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 709-727, September.
    2. Guibert, Quentin & Planchet, Frédéric, 2018. "Non-parametric inference of transition probabilities based on Aalen–Johansen integral estimators for acyclic multi-state models: application to LTC insurance," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 21-36.
    3. Bo-Hong Wu & Hirofumi Michimae & Takeshi Emura, 2020. "Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty–copula model," Computational Statistics, Springer, vol. 35(4), pages 1525-1552, December.

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