Estimating Multiplicative and Additive Hazard Functions by Kernel Methods
Oliver Linton,
Jens Perch Nielsen and
Sara van de Geer
STICERD - Econometrics Paper Series from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
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.
Keywords: Additive model; censoring; kernel; proportional hazards; survival analysis (search for similar items in EconPapers)
Date: 2001-02
References: Add references at CitEc
Citations:
Downloads: (external link)
https://sticerd.lse.ac.uk/dps/em/em411.pdf (application/pdf)
Related works:
Working Paper: Estimating multiplicative and additive hazard functions by kernel methods (2001) 
Working Paper: Estimating Multiplicative and Additive Hazard Functions by Kernel Methods (2001) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cep:stiecm:411
Access Statistics for this paper
More papers in STICERD - Econometrics Paper Series from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
Bibliographic data for series maintained by ().