Browsing Applied Statistics by Title
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On the estimation of variance parameters in nonstandard generalised linear mixed models: Application to penalised smoothing
(20180124)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 doseresponse 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
(20210101)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 twodimensional count data
(201505)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
(20160101)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 plotlevel model for repeated measurements to extract the timing of key stages and quantities at defined time points
(2021)Decisionmaking in breeding increasingly depends on the ability to capture and predict crop responses to changing environmental factors. Advances in crop modeling as well as highthroughput eld phenotyping (HTFP) hold ... 
Poisson excess relative risk models: New implementations and software
(20190301)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 SARSCoV2 a partir de información clínica y contaminación, mediante inteligencia artificial
(202111)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
(20170209)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 timetoevent approach using regularized Cox models
(20211120)Databased methods and statistical models are given special attention to the study of sports injuries to gain indepth understanding of its risk factors and mechanisms. The objective of this work is to evaluate the use of ... 
Predictive factors over time of healthrelated quality of life in chronic obstructive pulmonary disease patients
(202001)Background: Healthrelated 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
(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 1and 2year mortality in these ... 
Robust combination of the Morris and Sobol methods in complex multidimensional models
(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
(20210101)This paper introduces the package ROCnReg that allows estimating the pooled ROC curve, the covariatespecific ROC curve, and the covariateadjusted ROC curve by different methods, both from (semi) parametric and nonparametric ... 
Sample size impact on the categorisation of continuous variables in clinical prediction
(201712)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
(20170711)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
(20210222)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
(20161201)Aboveground biomass estimation in shortrotation 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 ... 
Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy)
(2020)The plantpathogenic bacterium Xylella fastidiosa was first reported in Europe in 2013, in the province of Lecce, Italy, where extensive areas were affected by the olive quick decline syndrome, caused by the subsp. pauca. ... 
Spatial Models for Field Trials
(20160901)An important aim of the analysis of agricultural field trials is to obtain good predictions for genotypic performance, by correcting for spatial effects. In practice these corrections turn out to be complicated, since there ...