npcure: An R Package for Nonparametric Inference in Mixture Cure Models
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npcure: An R Package for Nonparametric Inference in Mixture Cure ModelsData
2021Cita bibliográfica
LÓPEZ-CHEDA, A., JÁCOME, M. A. and LÓPEZ-DE-ULLIBARRI, I., 2021. npcure: An R Package for Nonparametric Inference in Mixture Cure Models. R Journal. 2021. Vol. 13, no. 1, p. 21–41. Doi: 10.32614/rj-2021-027
Resumo
[Abstract] Mixture cure models have been widely used to analyze survival data with a cure fraction. They assume that a subgroup of the individuals under study will never experience the event (cured subjects). So, the goal is twofold: to study both the cure probability and the failure time of the uncured individuals through a proper survival function (latency). The R package npcure implements a completely nonparametric approach for estimating these functions in mixture cure models, considering right-censored survival times. Nonparametric estimators for the cure probability and the latency as functions of a covariate are provided. Bootstrap bandwidth selectors for the estimators are included. The package also implements a nonparametric covariate significance test for the cure probability, which can be applied with a continuous, discrete, or qualitative covariate. © 2021. All Rights Reserved.
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Atribución 4.0 Internacional