Semiparametric mixed-effects models for clustered doubly censored data

Pao-Sheng Shen

Journal of Applied Statistics, 2012, vol. 39, issue 9, 1881-1892

Abstract: The Cox proportional frailty model with a random effect has been proposed for the analysis of right-censored data which consist of a large number of small clusters of correlated failure time observations. For right-censored data, Cai et al. [3] proposed a class of semiparametric mixed-effects models which provides useful alternatives to the Cox model. We demonstrate that the approach of Cai et al. [3] can be used to analyze clustered doubly censored data when both left- and right-censoring variables are always observed. The asymptotic properties of the proposed estimator are derived. A simulation study is conducted to investigate the performance of the proposed estimator.

Date: 2012
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DOI: 10.1080/02664763.2012.684874

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