Listar Modelización, Optimización e Inferencia Estadística (MODES) por autor "López-de-Ullibarri, Ignacio"
Mostrando ítems 1-8 de 8
-
A Product-Limit Estimator of the Conditional Survival Function When Cure Status Is Partially Known
Safari, Wende Clarence; López-de-Ullibarri, Ignacio; Jácome, M. A. (Wiley, 2021-03-01)[Abstract] 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 developed for the setting of a ... -
Feasibility, efficacy and safety of early lens extraction in patients with pseudoexfoliation glaucoma: a feasibility and pilot study
Pose-Bazarra, Sara; López-Valladares, María Jesús; López-de-Ullibarri, Ignacio; Azuara-Blanco, Augusto Augusto (Springer Nature, 2023-09)[Abstract]:PURPOSE: To evaluate the feasibility of a trial to compare the efficacy and safety of initial lens extraction surgery versus medical treatment for people with pseudoexfoliation glaucoma (PXFG) or ocular ... -
Latency function estimation under the mixture cure model when the cure status is available
Safari, Wende Clarence; López-de-Ullibarri, Ignacio; Jácome, M. A. (Springer, 2023-03)[Abstract]: This paper addresses the problem of estimating the conditional survival function of the lifetime of the subjects experiencing the event (latency) in themixture curemodel when the cure status information is ... -
Nonparametric Inference for Mixture Cure Model When Cure Information Is Partially Available
Clarence Safari, Wende; López-de-Ullibarri, Ignacio; Jácome, M. A. (MDPI, 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 ... -
Nonparametric Kernel Estimation of the Probability of Cure in a Mixture Cure Model when the Cure Status is Partially Observed
Safari, Wende Clarence; López-de-Ullibarri, Ignacio; Jácome, M. A. (Sage, 2022-08-01)[Abstract] Cure models are a class of time-to-event models where a proportion of individuals will never experience the event of interest. The lifetimes of these so-called cured individuals are always censored. It is usually ... -
npcure: An R Package for Nonparametric Inference in Mixture Cure Models
López-Cheda, Ana; Jácome, M. A.; López-de-Ullibarri, Ignacio (Technische Universitaet Wien, 2021)[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 ... -
survPresmooth: An R Package for Presmoothed Estimation in Survival Analysis
López-de-Ullibarri, Ignacio; Jácome, M. A. (American Statistical Association, 2013-08)[Abstract] The survPresmooth package for R implements nonparametric presmoothed estimators of the main functions studied in survival analysis (survival, density, hazard and cumulative hazard functions). Presmoothed versions ... -
Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain
Trigo-Tasende, Noelia; Vallejo, Juan Andrés; Rumbo-Feal, Soraya; Conde-Pérez, Kelly; Vaamonde, Manuel; López-Oriona, Ángel; Barbeito, Inés; Nasser-Ali, Mohammed; Reif López, Rubén; Rodiño-Janeiro, Bruno Kotska; Fernández-Álvarez, Elisa; Iglesias Corrás, Iago; Tarrío-Saavedra, Javier; Tomás, Laura; Gallego-García, Pilar; Posada, David; Bou, Germán; López-de-Ullibarri, Ignacio; Cao, Ricardo; Susana, Ladra; Poza, Margarita (Springer, 2023-07)[Abstract]: Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running ...