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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/dataset: | 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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Proceedings_sco_2011.pdf | 54.93 kB | Adobe PDF | View/Open |
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