Analysis of Recurrent Gap Time Data with a Binary Time-Varying Covariate

초록

Recurrent gap times are analyzed with diverse methods under severalassumptions such as a marginal model or a frailty model. Several resampling techniques have been recently suggested toestimate the covariate effect; however, these approaches can beapplied with a time-fixed covariate. According to simulationresults, these methods result in biased estimates for a time-varyingcovariate which is often observed in a longitudinal study. In thispaper, we extend a resampling method by incorporating new weightsand sampling scheme. Simulation studies are performed to compare thesuggested method with previous resampling methods. The proposedmethod is applied to estimate the effect of an educational programon traffic conviction data where a program participation occurs inthe middle of the study.

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