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Joint modelling of event counts and survival times

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  • B. J. Cowling
  • J. L. Hutton
  • J. E. H. Shaw

Abstract

Summary. In studies of recurrent events, such as epileptic seizures, there can be a large amount of information about a cohort over a period of time, but current methods for these data are often unable to utilize all of the available information. The paper considers data which include post‐treatment survival times for individuals experiencing recurring events, as well as a measure of the base‐line event rate, in the form of a pre‐randomization event count. Standard survival analysis may treat this pre‐randomization count as a covariate, but the paper proposes a parametric joint model based on an underlying Poisson process, which will give a more precise estimate of the treatment effect.

Suggested Citation

  • B. J. Cowling & J. L. Hutton & J. E. H. Shaw, 2006. "Joint modelling of event counts and survival times," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(1), pages 31-39, January.
    • Handle: RePEc:bla:jorssc:v:55:y:2006:i:1:p:31-39
    DOI: 10.1111/j.1467-9876.2005.00529.x
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    Cited by:

    1. Kalahasthi, Lokesh Kumar & Sánchez-Díaz, Iván & Pablo Castrellon, Juan & Gil, Jorge & Browne, Michael & Hayes, Simon & Sentís Ros, Carles, 2022. "Joint modeling of arrivals and parking durations for freight loading zones: Potential applications to improving urban logistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 307-329.
    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. Sheng Luo & Ciprian M. Crainiceanu & Thomas A. Louis & Nilanjan Chatterjee, 2009. "Bayesian Inference for Smoking Cessation with a Latent Cure State," Biometrics, The International Biometric Society, vol. 65(3), pages 970-978, September.
    4. Xiaodong Luo & Hong Tian & Surya Mohanty & Wei Yann Tsai, 2015. "An alternative approach to confidence interval estimation for the win ratio statistic," Biometrics, The International Biometric Society, vol. 71(1), pages 139-145, March.

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