Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14674
Title: Zero-inflated semi-parametric Cox's regression model for left-censored survival data
Authors: GROUWELS, Yves 
BRAEKERS, Roel 
Issue Date: 2011
Source: SCo 2011 Proceedings
Abstract: In this paper, we introduce a semi-parametric regression model for left-censored data in which the response variable has a positive discrete probability at the value zero. To investigate the influence of covariates on the probability on a zero-value, a logistic regression model is used. For the strict positive part of the response variable, a Cox’s regression model is given to model the influence of the covariates. The different parameters in the model are estimated using a likelihood method. Hereby,the baseline hazard function is an infinite dimensional parameter and is estimated by a step-function. As results, we show the consistency of the estimators for the different finite- and infinite-dimensional parameters in the model. We also present a simulation study and apply this model on a practical data example.
Keywords: Cox's regression; left-censoring; zero-inflated
Document URI: http://hdl.handle.net/1942/14674
Link to publication: http://homes.stat.unipd.it/mgri/SCo2011/Papers/CS/
ISBN: 978 88 6129 753 1
Category: C1
Type: Proceedings Paper
Appears in Collections:Research publications

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