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

Clarence Safari, WendeLópez-de-Ullibarri, IgnacioJácome, M. A.2022-01-142022-01-142021Safari, 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/engproc2021007017http://hdl.handle.net/2183/29396Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.[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.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/COVID-19ICUKernel estimatorsMixture cure modelSurvival analysisNonparametric Inference for Mixture Cure Model When Cure Information Is Partially Availableconference outputopen access10.3390/engproc2021007017