Nonparametric latency estimation for mixture cure models

Ana López-Cheda (), M. Amalia Jácome () and Ricardo Cao ()
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Ana López-Cheda: Universidade da Coruña
M. Amalia Jácome: Universidade da Coruña
Ricardo Cao: Universidade da Coruña

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2017, vol. 26, issue 2, No 6, 353-376

Abstract: 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).

Keywords: Bandwidth selection; Bootstrap; Censored data; Kernel estimation; Survival analysis; 62N01 Censored data models (Survival analysis and censored data); 62N02 Estimation (Survival analysis and censored data); 62G08 Nonparametric regression (Nonparametric inference) (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s11749-016-0515-1

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