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http://dx.doi.org/10.5351/CSAM.2014.21.5.387

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

Kim, Yang-Jin (Department of Statistics, Sookmyung Women's University)
Publication Information
Communications for Statistical Applications and Methods / v.21, no.5, 2014 , pp. 387-393 More about this Journal
Abstract
Recurrent gap times are analyzed with diverse methods under several assumptions such as a marginal model or a frailty model. Several resampling techniques have been recently suggested to estimate the covariate effect; however, these approaches can be applied with a time-fixed covariate. According to simulation results, these methods result in biased estimates for a time-varying covariate which is often observed in a longitudinal study. In this paper, we extend a resampling method by incorporating new weights and sampling scheme. Simulation studies are performed to compare the suggested method with previous resampling methods. The proposed method is applied to estimate the effect of an educational program on traffic conviction data where a program participation occurs in the middle of the study.
Keywords
Gap times; recurrent event data; resampling method; time-varying covariate; WCR; YTOP;
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