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Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models
Zumeta, L.
; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.-J. (2021-11-20)
; Weigert, M.; Larruskain, J.; Bikandi, E.; Setuain, I.; Lekue, J.; Küchenhoff, H.; Lee, D.-J. (2021-11-20)
Data-based methods and statistical models are given special attention to the study of sports injuries to gain in-depth understanding of its risk factors and mechanisms. The objective of this work is to evaluate the use of ...
Impacto cuantitativo de la contaminación en la probabilidad de muerte por neumonía por SARS-CoV-2
Bronte Moreno, O.; Urrutia Landa, I.; Martínez-Minaya, J.; García, F.; Lee, D.-J.; Jódar Samper, A.; García Hontoria, P.; Arostegui, I.; Artaraz Ereño, A.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
; García, F.; Lee, D.-J.; Jódar Samper, A.; García Hontoria, P.; Arostegui, I.; Artaraz Ereño, A.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Iturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción
La evidencia científica disponible señala que la contaminación del aire exterior podría agravar la severidad de la COVID-19 y por ende, incrementar las probabilidades de fallecimiento.
Material y métodos
Estudio ...
Predicción de la gravedad de neumonías por SARS-CoV-2 a partir de información clínica y contaminación, mediante inteligencia artificial
Bronte Moreno, O.; Urrutia Landa, I.; García, F.; Martínez-Minaya, J.; Uranga Echeverria, A.; Lee, D.-J.; García Hontoria, P.; Jódar Samper, A.; Arostegui, I.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Aldaiturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
; Martínez-Minaya, J.; Uranga Echeverria, A.; Lee, D.-J.; García Hontoria, P.; Jódar Samper, A.; Arostegui, I.; Menéndez Villanueva, R.; Méndez Ocaña, R.; Torres Marti, A.; Cillóniz, C.; Zalacain Jorge, R.; Ruiz Aldaiturriaga, L.A.; Serrano Fernández, L.; España Yandiola, P.P. (2021-11)
Introducción
La contaminación del aire exterior se ha relacionado con mayor gravedad de las infecciones respiratorias. Por tanto, su inclusión en algoritmos predictivos podrían añadir información para pronosticar la ...
Variable selection in high-dimensional data: application in a SARS-CoV-2 pneumonia clinical data-set
(2021-09-15)
As a result of the COVID-19 pandemic that collapsed hospitals in some countries, numerous studies have been carried out to understand the development of the disease and how it affects patients with different characteristics, ...
From habitat to management: a simulation framework for improving statistical methods in fisheries science
(2021-07-07)
Monte Carlo simulation consists of computer experiments that involve creating data by pseudo-random sampling and has shown to be a powerful tool for studying the performance of statistical methods. In this thesis Monte ...
Simulation approach for assessing the performance of the γEWMA control chart
(2021-02-22)
i) Purpose: The purpose of this paper is to evaluate the performance of a modified EWMA control chart ($\gamma$EWMA control chart), which considers data distribution and incorporate its correlation structure, simulating ...
ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference With and Without Covariates
Rodríguez-Álvarez, M.X.; Vanda, I. (2021-01-01)
; Vanda, I. (2021-01-01)
This paper introduces the package ROCnReg that allows estimating the pooled ROC curve, the covariate-specific ROC curve, and the covariate-adjusted ROC curve by different methods, both from (semi) parametric and nonparametric ...
Package wsbackfit for Smooth Backfitting Estimation of Generalized Structured Models
Roca-Pardinas, J.; Rodríguez-Álvarez, M.X.; Sperlich, S. (2021-01-01)
; Sperlich, S. (2021-01-01)
A package is introduced that provides the weighted smooth backfitting estimator for a large family of popular semiparametric regression models. This family is known as generalized structured models, comprising, for example, ...
Altered effective connectivity in sensorimotor cortices: a novel signature of severity and clinical course in depression
Ray, D.; Bezmaternykh, D.; Mel'nikov, M.; Friston, K.J.; Das, M. (2021)
(2021)
Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, instead, we focus on alterations of sensorimotor function ...
Phenomics data processing: A plot-level model for repeated measurements to extract the timing of key stages and quantities at defined time points
Roth, L.; Van Eeuwijk, F.; Rodríguez-Álvarez, M.X.; Hans-Peter, P.; Hund, A. (2021)
; Hans-Peter, P.; Hund, A. (2021)
Decision-making in breeding increasingly depends on the ability to capture and predict crop responses to changing environmental factors. Advances in crop modeling as well as high-throughput eld phenotyping (HTFP) hold ...