Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available
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Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially AvailableFecha
2021Cita bibliográfica
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
Resumen
[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.
Palabras clave
COVID-19
ICU
Kernel estimators
Mixture cure model
Survival analysis
ICU
Kernel estimators
Mixture cure model
Survival analysis
Descripción
Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.
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Atribución 4.0 Internacional