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Nonparametric Estimation in Mixture Cure Models with Covariates
(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 ...
How do early socioeconomic circumstances impact inflammatory trajectories? Findings from Generation XXI
(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 ...
Goodness-of-fit tests for multiple regression with circular response
(2022)
[Abstract]: Testing procedures for assessing a parametric regression model with a circular response and an Rd-valued covariate are proposed and analysed in this work. The test statistics are based on a circular distance ...
Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain
(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 ...
Rejoinder on: Nonparametric estimation in mixture cure models with covariates
(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). ...
Nonparametric covariate hypothesis tests for the cure rate in mixture cure models
(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, ...
Cure models to estimate time until hospitalization due to COVID-19
(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 ...
Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas
(Taylor and Francis Group, 2023-01)
[Abstract]: Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this domain. A framework for ...
A New Approach to the Gender Pay Gap Decomposition by Economic Activity
(Oxford University Press, 2022-01)
[Abstract]: The aim of this paper is to present an original approach to estimate the gender pay gap (GPG). We propose a model-based decomposition, similar to the most popular approaches, where the first component measures ...
Two novel distances for ordinal time series and their application to fuzzy clustering
(Elsevier B.V., 2023-09-30)
[Abstract]: Time series clustering is a central machine learning task with applications in many fields. While the majority of the methods focus on real-valued time series, very few works consider series with discrete ...