Nonparametric latency estimation for mixture cure models
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Nonparametric latency estimation for mixture cure modelsData
2017-06Cita bibliográfica
López-Cheda, A., Jácome, M.A. & Cao, R. Nonparametric latency estimation for mixture cure models. TEST 26, 353–376 (2017). https://doi.org/10.1007/s11749-016-0515-1
Resumo
[Abstract]: A nonparametric latency estimator for mixture cure models is studied in this paper. An i.i.d. representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic normality is proven. A bootstrap bandwidth selection method is introduced and its efficiency is evaluated in a simulation study. The proposed methods are applied to a dataset of colorectal cancer patients in the University Hospital of A Coruña (CHUAC).
Palabras chave
Bandwidth selection
Bootstrap
Censored data
Kernel estimation
Survival analysis
Bootstrap
Censored data
Kernel estimation
Survival analysis
Descrición
This version of the article has been accepted for publication, after peer
review and is subject to Springer Nature’s AM terms of use, but is not the
Version of Record and does not reflect post-acceptance improvements, or
any corrections. The Version of Record is available online at:
https://doi.org/10.1007/s11749-016-0515-1
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Dereitos
Copyright © 2016, Sociedad de Estadística e Investigación Operativa
ISSN
1863-8260