Estimating Multiplicative and Additive Hazard Functions by Kernel Methods

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  • 1 January 2001
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      • Published in RePEc
Abstract
We propose new procedures for estimating the univariate quantities of interest in both additive and multiplicative nonparametric marker dependent hazard models. We work with a full counting process framework that allows for left truncation and right censoring. Our procedures are based on kernels and on the idea of marginal integration. we provide a central limit theorem for our estimator.
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