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Frailty modelling for survival data from multi-centre clinical trials

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  • Ha, Il Do
  • Sylvester, Richard
  • Legrand, Catherine
  • MacKenzie, Gilbert

Abstract

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Suggested Citation

  • Ha, Il Do & Sylvester, Richard & Legrand, Catherine & MacKenzie, Gilbert, 2011. "Frailty modelling for survival data from multi-centre clinical trials," LIDAM Reprints ISBA 2011060, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    • Handle: RePEc:aiz:louvar:2011060
    Note: In : Statistics in Medicine, vol. 30, no.17, p. 2144–2159 (2011)
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    Cited by:

    1. Derek Dinart & Carine Bellera & Virginie Rondeau, 2022. "Sample size estimation for cancer randomized trials in the presence of heterogeneous populations," Biometrics, The International Biometric Society, vol. 78(4), pages 1662-1673, December.
    2. Eunyoung Park & Sookhee Kwon & Jihoon Kwon & Richard Sylvester & Il Do Ha, 2020. "Penalized h‐likelihood approach for variable selection in AFT random‐effect models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(1), pages 52-71, February.
    3. repec:jss:jstsof:47:i04 is not listed on IDEAS
    4. Il Do Ha & Liming Xiang & Mengjiao Peng & Jong-Hyeon Jeong & Youngjo Lee, 2020. "Frailty modelling approaches for semi-competing risks data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 26(1), pages 109-133, January.
    5. Toshihiro Misumi, 2022. "Joint modeling for longitudinal covariate and binary outcome via h-likelihood," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1225-1243, December.

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