Applied Statistics
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A twostage approach for the spatiotemporal analysis of highthroughput phenotyping data
(20220224)High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical ... 
Modeling latent spatiotemporal disease incidence using penalized composite link models
(20220310)Epidemiological data are frequently recorded at coarse spatiotemporal resolutions to protect confidential information or to summarize it in a compact manner. However, the detailed patterns followed by the source data, ... 
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 ... 
A survey of bias in machine learning through the prism of statistical parity
(2020)Applications based on machine learning models have now become an indispensable part of the everyday life and the professional world. As a consequence, a critical question has recently arose among the population: Do algorithmic ... 
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, ... 
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 ... 
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 ... 
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 ... 
Altered effective connectivity in sensorimotor cortices: a novel signature of severity and clinical course in depression
(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 ... 
From habitat to management: a simulation framework for improving statistical methods in fisheries science
(20210707)Monte Carlo simulation consists of computer experiments that involve creating data by pseudorandom sampling and has shown to be a powerful tool for studying the performance of statistical methods. In this thesis Monte ... 
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 ... 
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. ... 
Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana
(2020)Background: Disentangling the drivers of genetic differentiation is one of the cornerstones in evolution. This is because genetic diversity, and the way in which it is partitioned within and among populations across space, ... 
Disease progression of peach powdery mildew in Catalonia, Spain – Towards a decision support system based on degreedays to initiate fungicide spray programs
(2020)The incidence of peach powdery mildew (PPM) on fruit was monitored in commercial peach orchards to i) describe the disease progress in relation to several environmental parameters and ii) establish an operating threshold ... 
Comparison of Frequentist and Bayesian MetaAnalysis Models for Assessing the Efficacy of Decision Support Systems in Reducing Fungal Disease Incidence
(2020)Diseases of fruit and foliage caused by fungi and oomycetes are generally controlled by the application of fungicides. The use of decision support systems (DSSs) may assist to optimize fungicide programs to enhance application ... 
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 ... 
Bayesian hierarchical modelling of growth curve derivatives via sequences of quotient differences
(202001)Growth curve studies are typically conducted to evaluate differences between group or treatmentspecific curves. Most analyses focus solely on the growth curves, but it has been argued that the derivative of growth curves ... 
idmTPreg: Regression Model for Progressive Illness Death Data
(20181201)The progressive illnessdeath model is frequently used in medical applications. For example, the model may be used to describe the disease process in cancer studies. We have developed a new R package called idmTPreg to ... 
A General Framework for Prediction in Generalized Additive Models
(20200113)Smoothing techniques have become one of the most popular modelling approaches in the unidimensional and multidimensional setting. However, outofsample prediction in the context of smoothing models is still an open problem ... 
Modelling species presence–absence in the ecological niche theory framework using shapeconstrained generalized additive models
(20200113)According to ecological niche theory, species response curves are unimodal with respect to environmental gradients. A variety of statistical methods have been developed for species distribution modelling. A general problem ...