Listar por autor "López-Cheda, Ana"

Mostrando ítems 1-14 de 14

    • A cardiotoxicity dataset for breast cancer patients 

      Piñeiro Lamas, Beatriz; López-Cheda, Ana; Cao, Ricardo; Ramos-Alonso, Laura; González-Barbeito, Gabriel; Barbeito Caamaño, Cayetana; Bouzas-Mosquera, Alberto (Nature Research, 2023)
      [Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with ...

    • Cure models to estimate time until hospitalization due to COVID-19 

      Pedrosa-Laza, Maria; López-Cheda, Ana; Cao, Ricardo (Springer Nature, 2022-01)
      [Abstract]: A short introduction to survival analysis and censored data is included in this paper. A thorough literature review in the field of cure models has been done. An overview on the most important and recent ...

    • Estimating Lengths-Of-Stay of Hospitalized COVID-19 Patients Using a Non-parametric Model: A Case Study in Galicia (Spain) 

      López-Cheda, Ana; Cao, Ricardo; De Salazar, Pablo M.; Jácome, M. A. (Cambridge University Press, 2021)
      [Abstract] 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 healthcare systems has critical ...

    • Estimation of patient flow in hospitals using up-to-date data. Application to bed demand prediction during pandemic waves 

      García-Vicuña, Daniel; López-Cheda, Ana; Jácome, M. A.; Mallor, Fermín (PLOS, 2023-02-27)
      [Abstract] Hospital bed demand forecast is a first-order concern for public health action to avoid healthcare systems to be overwhelmed. Predictions are usually performed by estimating patients flow, that is, lengths of ...

    • How do early socioeconomic circumstances impact inflammatory trajectories? Findings from Generation XXI 

      Soares, Sara; López-Cheda, Ana; Santos, Ana Cristina; Barros, Henrique; Fraga, Sílvia (Elsevier, 2020-09)
      [Abstract]: Background: The association between socioeconomic position and markers of inflammation in adults, including C-reactive protein (CRP), is well-established. We hypothesized that children from families of ...

    • Nonparametric covariate hypothesis tests for the cure rate in mixture cure models 

      López-Cheda, Ana; Jácome, M. A.; Keilegom, Ingrid Van; Cao, Ricardo (John Wiley & Sons, 2020-06)
      [Abstract]: In lifetime data, like cancer studies, there may be long term survivors, which lead to heavy censoring at the end of the follow-up period. Since a standard survival model is not appropriate to handle these data, ...

    • Nonparametric Estimation in Mixture Cure Models with Covariates 

      López-Cheda, Ana; Peng, Yingwei; Jácome, M. A. (Springer Nature, 2023-05-17)
      [Abstract] Nonparametric estimation methods for the cure rate and the distribution of the failure time of uncured subjects with covariates for censored survival data have attracted much attention in the last few years. To ...

    • Nonparametric incidence estimation and bootstrap bandwidth selection in mixture cure models 

      López-Cheda, Ana; Cao, Ricardo; Jácome, M. A.; Keilegom, Ingrid Van (Elsevier, 2017-01)
      [Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. A nonparametric estimator of the incidence is extensively studied and a nonparametric estimator of the latency is presented. ...

    • Nonparametric Inference in Mixture Cure Models 

      López-Cheda, Ana (2018)
      [Abstract] A completely nonparametric method for the estimation of mixture cure models is proposed. An incidence estimator is extensively studied and a latency estimator is presented. These estimators, which are based ...

    • Nonparametric Inference in Mixture Cure Models 

      López-Cheda, Ana; Cao, Ricardo; Jácome, M. A.; Keilegom, Ingrid Van (MDPI, 2018-09)
      [Abstract]: A completely nonparametric method for the estimation of mixture cure models is proposed. Nonparametric estimators for the cure probability (incidence) and for the survival function of the uncured population ...

    • Nonparametric latency estimation for mixture cure models 

      López-Cheda, Ana; Jácome, M. A.; Cao, Ricardo (Springer Nature, 2017-06)
      [Abstract]: 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 is found, and its asymptotic ...

    • 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 ...

    • On the Reliability of Machine Learning Models for Survival Analysis When Cure Is a Possibility 

      Ezquerro, Ana; Cancela, Brais; López-Cheda, Ana (MDPI, 2023-10-02)
      [Abstract]: In classical survival analysis, it is assumed that all the individuals will experience the event of interest. However, if there is a proportion of subjects who will never experience the event, then a standard ...

    • Rejoinder on: Nonparametric estimation in mixture cure models with covariates 

      López-Cheda, Ana; Peng, Yingwei; Jácome, M. A. (Springer Nature, 2023-06)
      [Abstract]: We thank all discussants for their insightful comments on our paper [López-Cheda, A., Peng, Y. & Jácome, M.A. Nonparametric estimation in mixture cure models with covariates. TEST 32, 467–495 (2023). ...