6 papers
Improved distance correlation estimation
Blanca E. Monroy-Castillo, M. A, Jácome +1
Distance correlation is a novel class of multivariate dependence measure, taking positive values between 0 and 1, and applicable to random vectors of arbitrary dimensions, not nece…
A product-limit estimator of the conditional survival function when cure status is partially known
Wende C. Safari, Ignacio López-de-Ullibarri, M. Amalia Jácome
We introduce a nonparametric estimator of the conditional survival function in the mixture cure model for right censored data when cure status is partially known. The estimator is…
npcure: An R Package for Nonparametric Inference in Mixture Cure Models
Ana López-Cheda, M. Amalia Jácome, Ignacio López-de-Ullibarri
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…
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
Ana López-Cheda, M. Amalia Jácome, Ingrid Van Keilegom +1
In lifetime data, like cancer studies, theremay be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not app…
Nonparametric latency estimation for mixture cure models
Ana López-Cheda, M. Amalia Jácome, Ricardo Cao
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…
Estimating lengths-of-stay of hospitalised COVID-19 patients using a non-parametric model: a case study in Galicia (Spain)
Ana López-Cheda, M. Amalia Jácome, Ricardo Cao +1
Estimating the lengths-of-stay (LoS) of hospitalised COVID-19 patients is key for predicting the hospital beds' demand and planning mitigation strategies, as overwhelming the healt…