Browsing Applied Statistics by Title
Now showing items 40-59 of 71
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A new approach to categorize continuous variables in prediction models: Proposal and validation
Barrio, I.; Arostegui, I.
; Rodríguez-Álvarez, M.X.; Quintana, J.M. (2017-12)
When developing prediction models for application in clinical practice, health practitioners usually categorise clinical variables that are continuous in nature. Although categorisation is not regarded as advisable from ... -
A note on Poisson goodness-of-fit tests for ionizing radiation induced chromosomal aberration samples
(2018-06-13)Purpose: To present Poisson exact goodness-of-fit tests as alternatives and complements to the asymptotic u-test, which is the most widely used in cytogenetic biodosimetry, to decide whether a sample of chromosomal aberrations ... -
On the estimation of variance parameters in non-standard generalised linear mixed models: Application to penalised smoothing
Rodríguez-Álvarez, M.X.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2018-01-24)
We present a novel method for the estimation of variance parameters in generalised linear mixed models. The method has its roots in Harville (1977)'s work, but it is able to deal with models that have a precision matrix ... -
Optimal experimental design for cytogenetic dose-response calibration curves
(2019)Purpose: To introduce optimal experimental design techniques in the cytogenetic biological dosimetry practice. This includes the development of a new optimality criterion for the calibration of radiation doses. Materials ... -
Package wsbackfit for Smooth Backfitting Estimation of Generalized Structured Models
Roca-Pardinas, J.; Rodríguez-Álvarez, M.X.; 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, ... -
Penalized composite link mixed models for two-dimensional count data
Ayma, D.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2015-05)
Mortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology, medical demography, and public health. However, they are often available ... -
Penalized composite link models for aggregated spatial count data: a mixed model approach
Ayma, D.; Durban, M.; Lee, D.-J.; Eilers, P.H.C. (2016-01-01)
Mortality data provide valuable information for the study of the spatial distri- bution of mortality risk, in disciplines such as spatial epidemiology and public health. However, they are frequently available in an aggregated ... -
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)
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 ... -
Poisson excess relative risk models: New implementations and software
(2019-03-01)Two new implementations for fitting Poisson excess relative risk methods are proposed for assumed simple models. This allows for estimation of the excess relative risk associated with a unique exposure, where the background ... -
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)
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 ... -
Predicting Pregnancy Outcomes Using Longitudinal Information: A Penalized Splines Mixed–Effects Model Approach
De la Cruz, R.; Fuentes, C.; Meza, C.; Lee, D.-J.; Arribas-Gil, A. (2017-02-09)
We propose a semiparametric mixed–effects model (SNMM) using penalized splines to clas- sify longitudinal data and improve the prediction of a binary outcome. The work is motivated by a study in which different hormone ... -
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)
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 ... -
Predictive factors over time of health-related quality of life in chronic obstructive pulmonary disease patients
Esteban, C.; Arostegui, I.; Aramburu, A.; Moraza, J.; Najera-Zuloaga, J.; Aburto, M.; Aizpiri, S.; Chascó, L.; Quintana, J.M. (2020-01)
Background: Health-related quality of life (HRQoL) should be seen as a tool that provides an overall view of the general clinical condition of a COPD patient. The aims of this study were to identify variables associated ... -
Predictors of one and two years’ mortality in patients with colon cancer: a prospective cohort study
Quintana, J.M.; González, N.; Lazaro, S.; Bare, M.; Fernandez-de-Larrea, N.; Redondo, M.; Briones, E.; Escobar, A.; Sarasqueta, C.; García-Gutierrez, S.; Antón-Ladislao, A.; Arostegui, I. (2018)
Tools to aid in the prognosis assessment of colon cancer patients in terms of risk of mortality are needed. Goals of this study are to develop and validate clinical prediction rules for 1-and 2-year mortality in these ... -
Robust combination of the Morris and Sobol methods in complex multidimensional models
Garcia, D.; Arostegui, I.; Prellezo, R. (2019)
Conducting global sensitivity analysis using variance decomposition methods in complex simulation models with many input factors is usually unaffordable. An alternative is to first apply a screening method to reduce the ... -
ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference With and Without Covariates
Rodríguez-Álvarez, M.X.; 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 ... -
Sample size impact on the categorisation of continuous variables in clinical prediction
Barrio, I.; Arostegui, I.; Rodríguez-Álvarez, M.X. (2017-12)
Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor ... -
A simple Bayesian linear excess relative risk model
(2017-07-11)A new Bayesian Poisson relative risk model is proposed for displaying the excess relative risk associated to a unique exposure as a probability distribution in a closed form. The background risk can be modelled by a unique ... -
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 ... -
Smooth additive mixed models for predicting aboveground biomass
Sánchez-González, M.; Durban, M.; Lee, D.-J.; Cañellas, I.; Sixto, H. (2016-12-01)
Aboveground biomass estimation in short-rotation forestry plantations is an essential step in the development of crop management strategies as well as allowing the economic viability of the crop to be determined prior to ...