Analysis of recurrent events with an associated informative dropout time: Application of the joint frailty model

作者：Rogers Jennifer K^*; Yaroshinsky Alex; Pocock Stuart J; Stokar David; Pogoda Janice

来源：Statistics in Medicine, 2016, 35(13): 2195-2205.

DOI：10.1002/sim.6853

• recurrent events
• dependent censoring
• joint frailty models
• heart failure

This paper considers the analysis of a repeat event outcome in clinical trials of chronic diseases in the context of dependent censoring (e.g. mortality). It has particular application in the context of recurrent heart failure hospitalisations in trials of heart failure. Semi-parametric joint frailty models (JFMs) simultaneously analyse recurrent heart failure hospitalisations and time to cardiovascular death, estimating distinct hazard ratios whilst individual-specific latent variables induce associations between the two processes. A simulation study was carried out to assess the suitability of the JFM versus marginal analyses of recurrent events and cardiovascular death using standard methods. Hazard ratios were consistently overestimated when marginal models were used, whilst the JFM produced good, well-estimated results. An application to the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity programme was considered. The JFM gave unbiased estimates of treatment effects in the presence of dependent censoring. We advocate the use of the JFM for future trials that consider recurrent events as the primary outcome.

• 出版日期2016-6-15