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

Ying Xu () and Yin Bun Cheung ()
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Ying Xu: Duke–NUS Graduate Medical School
Yin Bun Cheung: Duke–NUS Graduate Medical School

Stata Journal, 2018, vol. 18, issue 2, 477-484

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.

Keywords: strmcure; frailty-mixture model; primary effect; total effect; two-step estimation procedure (search for similar items in EconPapers)
Date: 2018
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