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Frailty models and frailty-mixture models for recurrent event times: Update

Author

Listed:
  • Ying Xu

    (Duke–NUS Graduate Medical School)

  • Yin Bun Cheung

    (Duke–NUS Graduate Medical School)

Abstract

Xu and Cheung (2015, Stata Journal 15: 135–154) introduced the strmcure command, which fits frailty models and frailty-mixture models in the analysis of recurrent event times. In this article, we provide an update to strmcure. The update implements a two-step estimation procedure for a frailty-mixture model that allows the estimation of the effect of an intervention on the probability of cure and on the total effect on event rate in the noncured. To illustrate, we will use the same example dataset on respiratory exacerbations from the original article.

Suggested Citation

  • Ying Xu & Yin Bun Cheung, 2018. "Frailty models and frailty-mixture models for recurrent event times: Update," Stata Journal, StataCorp LP, vol. 18(2), pages 477-484, June.
    • Handle: RePEc:tsj:stataj:v:18:y:2018:i:2:p:477-484
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