共查询到10条相似文献,搜索用时 15 毫秒
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Semiparametric analysis of the additive risk model 总被引:11,自引:0,他引:11
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Dependent censoring occurs in longitudinal studies of recurrent events when the censoring time depends on the potentially unobserved recurrent event times. To perform regression analysis in this setting, we propose a semiparametric joint model that formulates the marginal distributions of the recurrent event process and dependent censoring time through scale-change models, while leaving the distributional form and dependence structure unspecified. We derive consistent and asymptotically normal estimators for the regression parameters. We also develop graphical and numerical methods for assessing the adequacy of the proposed model. The finite-sample behavior of the new inference procedures is evaluated through simulation studies. An application to recurrent hospitalization data taken from a study of intravenous drug users is provided. 相似文献
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Additive hazards regression with current status data 总被引:5,自引:0,他引:5
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Accelerated failure time models for counting processes 总被引:2,自引:0,他引:2
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Survival analyses in twin studies and matched pair experiments 总被引:1,自引:0,他引:1
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