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http://hdl.handle.net/2183/29396

Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available

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Clarence_Safari_Wende_2021_Nonparametric_Inference.pdf (318.22 KB)

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URI: http://hdl.handle.net/2183/29396
DOI: 10.3390/engproc2021007017

Publication date

2021

Authors

Clarence Safari, Wende

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Safari, W.C.; López-de-Ullibarri, I.; Jácome, M.A. Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available. Eng. Proc. 2021, 7, 17. https://doi.org/10.3390/engproc2021007017

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Abstract

[Abstract] We introduce nonparametric estimators to estimate the conditional survival function, cure probability and latency function in the setting of a mixture cure model when the cure status is partially known. For the sake of illustration, we present an application concerning patients hospitalized with COVID-19 in Galicia (Spain) during the first outbreak of the epidemic.

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Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.

Keywords

COVID-19 ICU Kernel estimators Mixture cure model Survival analysis

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https://doi.org/10.3390/engproc2021007017

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Atribución 4.0 Internacional

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Atribución 4.0 Internacional

Except where otherwise noted, this item's license is described as Atribución 4.0 Internacional