CEBMADRID 2022: XVIII CONGRESO DE BIOMETRíA

This page contains an index consisting of author-provided keywords.

A
accuracy	Assessment of uncertainty in biomass estimation using different statistical tools employed in fisheries management
Adaptive design	Bayesian adaptive design for a clinical trial on cardiology
adaptive designs	Adaptive designs for longitudinal studies in interventional cardiology An adaptive design to handle deviations from proportionality assumption
Age at peak height velocity	A comparative study of growth curves modelling approaches for the estimation of the age at peak height velocity
ageing	The new longevity in an inclusive society
Aging	Exploring statistical methods for classifying individuals in extreme aging groups
Agriculture	A new algorithm to detect homogeneous damage zones applying unsupervised machine learning to remote sensing data
asymmetric Laplace	Spatio-temporal quantile autoregression for detecting changes in daily temperature in northeastern Spain
Attitude mapping	Bayesian hierarchical models for assessing the attitudes towards intimate partner violence against women
AUC	Estimation of the area under the ROC curve with complex survey data
B
Bayes factor	Metamodelling of multimodelling: a Bayesian meta predictive-model for Climate Change
Bayes factors	Bayesian adaptive design for a clinical trial on cardiology
Bayesian	Bayesian Survival Analysis of Acute-On-Chronic Liver Failure in Clinically Stable Outpatients with Cirrhosis
Bayesian hierarchical model	Spatio-temporal quantile autoregression for detecting changes in daily temperature in northeastern Spain
Bayesian hierarchical models	A proposal for spatial small area estimation in survey studies
Bayesian inference	Bayesian modelling of the γ-H2AX assay for radiaton biodosimetry Assessing geographical differences in the risk of recurrent hip fracture and death via Bayesian spatial illness-death models Estimation of excess mortality in 2020 in five European countries
Bayesian learning	Estimating essential habitats combining fishery-dependent and -independent data applying Bayesian learning
Bayesian methods	Adaptive designs for longitudinal studies in interventional cardiology
Bayesian Model Averaging	Metamodelling of multimodelling: a Bayesian meta predictive-model for Climate Change
Bayesian model selection	New developments on integral priors for Bayesian model selection
Bayesian modeling	Urban greening and gentrification
Bayesian Models	Normative data of verbal fluency test in pediatric population from Spain: A Bayesian Regression Approach
Bayesian networks	Multivariate analysis of the determinants of quality composts from green waste streams from different origins using Bayesian networks
Bayesian statistics	Bayesian Small Area Estimation for the incidence of COVID-19 across Catalonia A hidden Markov model for assessing the hot hand phenomenon in basketball shooting performance Fitting double hierarchical generalized linear models with INLA
Bernoulli trials	A hidden Markov model for assessing the hot hand phenomenon in basketball shooting performance
Beta-Binomial longitudinal model	A two stage joint modelling of longitudinal discrete bounded outcomes and survival analysis: an application to chronic obstructive pulmonary disease patients
Bias	Confounding by indication: the role of clinical stability on antimicrobial de-escalation in community-acquired pneumonia
biodosimetry	Bayesian modelling of the γ-H2AX assay for radiaton biodosimetry
Bioinformatics	Exploring statistical methods for classifying individuals in extreme aging groups
Biological age	Biological age imputation by data depth
Biological Annotations	Integrative Analysis of Multi-Omics Data with Addition of Biological Knowledge
bone fractures	Plasma metabolomics, bone mineral density and fractures in a population-based sample from Spain: The Hortega Study
bone mineral density	Plasma metabolomics, bone mineral density and fractures in a population-based sample from Spain: The Hortega Study
Bootstrapping	Predicting multidrug resistance in neutropenic cancer patients with bloodstream infection due to Pseudomonas aeruginosa
Breast cancer (BC)	A comparative study of quality of life among patients with metastatic breast cancer and breast cancer survivors: The chronic effect of the disease
C
Cancer incidence projection	Could mortality data improve short-time cancer incidence predictions?
Causal inference	A comparison of Mendelian Randomization methods for assessing causal effects on complex traits.
classification	Classification in Semiparametric Nonlinear Mixed Models using P-Splines and the SAEM Algorithm
Classifying methods	Exploring statistical methods for classifying individuals in extreme aging groups
Climate Change	Metamodelling of multimodelling: a Bayesian meta predictive-model for Climate Change
Clincal Trials	An adaptive design to handle deviations from proportionality assumption
Clinical trials	Adaptive designs for longitudinal studies in interventional cardiology Current statistical issues in platform trials for the evaluation of multiple treatments On a composite endpoint for cancer studies
cluster	Cluster analysis applied to COVID data: a study of the patient’s characteristics and disease outcomes
Clustering	A comparative study of quality of life among patients with metastatic breast cancer and breast cancer survivors: The chronic effect of the disease clustglm and clustord: R packages for clustering with covariates for binary, count, and ordinal data
Compartmental models	A spatial epidemiological model for plant pathogen diseases spread
Competing Risks	Bayesian Survival Analysis of Acute-On-Chronic Liver Failure in Clinically Stable Outpatients with Cirrhosis
complex survey data	Estimation of the area under the ROC curve with complex survey data
Composite Endpoints	On a composite endpoint for cancer studies
compositional data	White blood cell profiles in Myotonic Dystrophy Type 1 mice overexpressing the MSI2 gene
Compositional Data Analysis	Exploring quantitative brain features associated with high genetic predisposition to Alzheimer’s disease using Compositional Data Analysis
Compost quality	Multivariate analysis of the determinants of quality composts from green waste streams from different origins using Bayesian networks
Confirmed influenza hospitalization	Identification of severity prognostic factors in hospitalized patients with confirmed influenza by means of a multi-state model
Conic optimization	Constrained smoothing and out-of-range prediction using P-splines: an application to COVID-19 evolution
COPD	Modeling COPD hospitalizations using variable domain functional regression A new general and multivariable approach to categorize predictor variables. Optimal categorization of physical activity in COPD patients
COVID	Cluster analysis applied to COVID data: a study of the patient’s characteristics and disease outcomes
COVID-19	A multi-state model to analyze hospitalized Covid-19 patients during the first three waves in the Barcelona metropolitan area Dynamic evaluation of COVID-19 clinical states and their prognostic factors to improve the intra-hospital patient management Non-Markov multistate models applied to a cohort of COVID-19 patients COVID-19’s incubation time period by vaccination status Estimation of excess mortality in 2020 in five European countries Interactive modelling and prediction of patient evolution via multistate models
COVID-19 hospitalizations	A semi-Markov multistate model for in-hospital survival to examine the first COVID-19 wave in the Barcelona metropolitan area
Covid-19 surveillance	Bayesian Small Area Estimation for the incidence of COVID-19 across Catalonia
covid19	Spatio-temporal small area surveillance of the COVID19 in Comunitat Valenciana
Cox model	Dealing with non-proportional hazards: Impact of treatment strategies on mortality in Pseudomonas aeruginosa bacteraemic pneumonia in neutropenic cancer patients
Cox's proportional risks	A prediction model for survival in patients with advanced disease: dealing with non-proportional hazards factors.
Cross-validation	Statistical Learning Models in Classifying the Type of Meningitis
D
D-optimality	Optimal designs for a non-lineal model of ethanol elimination in the human body
Data depth	Biological age imputation by data depth
data manage	Managing REDCap Data: The R package REDCapDM
Data visualization	The importance of data visualization for a better interpretation of the results: application to a multinomial analysis of the positivity of different biomarkers on the risk of oropharyngeal cancer
De-escalation	Confounding by indication: the role of clinical stability on antimicrobial de-escalation in community-acquired pneumonia
Deep learning	Generative adversarial networks for medical images editing
Dense Neural Networks	Exploring transfer learning in omics data
dependent Dirichlet process	Density regression via dependent Dirichlet process mixtures and penalised splines
Derivative curves	A comparative study of growth curves modelling approaches for the estimation of the age at peak height velocity
DHGLM	Fitting double hierarchical generalized linear models with INLA
diabetes	Urinary Zinc and Incident Diabetes: Prospective Evidence from the Strong Heart Study
Differential expression	Addressing missing genes in gene expression meta-analysis with DExMA
Differential Meningitis	Statistical Learning Models in Classifying the Type of Meningitis
disease mapping	Spatio-temporal small area surveillance of the COVID19 in Comunitat Valenciana
Distance correlation	Searching for epistasis in high-dimensional genomic databases with an energy statistics approach
DNA methylation	Multiple mediation for uncausally correlated mediators in survival analysis
E
Epidemiology	A comparison of Mendelian Randomization methods for assessing causal effects on complex traits.
ethanol	Optimal designs for a non-lineal model of ethanol elimination in the human body
excess mortality	Estimation of excess mortality in 2020 in five European countries
F
Factor analysis	Comparison of three scoring methods applied to the ASES-p scale for shoulder pathology
Farm to Fork Strategy	Reducing the use of fungicides in agriculture by 50% with decision support systems. A Bayesian meta-analysis
fisheries	Estimating essential habitats combining fishery-dependent and -independent data applying Bayesian learning
G
gamma-H2AX	Bayesian modelling of the γ-H2AX assay for radiaton biodosimetry
Gender gap	Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
Generalized linear model	Regression analysis with interval-censored covariates. Application to liquid chromatography.
Generalized odds-rate class of regression	Dynamic evaluation of COVID-19 clinical states and their prognostic factors to improve the intra-hospital patient management
Generative adversarial networks	Generative adversarial networks for medical images editing
Genetic association studies	A comparison of Mendelian Randomization methods for assessing causal effects on complex traits. Let’s MAMBO; Multivariate Analysis and Modelling of multiple Brain Outcomes in neurogenetic studies
Genomics	Searching for epistasis in high-dimensional genomic databases with an energy statistics approach Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
geostatistical models	Assessment of uncertainty in biomass estimation using different statistical tools employed in fisheries management
glm	An inferential framework for the Multiverse Analysis: the sign Flipping score test
Golf course	Multivariate analysis of the determinants of quality composts from green waste streams from different origins using Bayesian networks
Growth curves	A comparative study of growth curves modelling approaches for the estimation of the age at peak height velocity
H
high-dimensional linear regression	Resampling-Based Inference for High-Dimensional Regression
High-dimensional statistical inference	Searching for epistasis in high-dimensional genomic databases with an energy statistics approach
higher-order Markov chains	Exploring the randomness of mentally generated head-tail sequences in healthy older adults and young subjects
Human Papillomavirus	The importance of data visualization for a better interpretation of the results: application to a multinomial analysis of the positivity of different biomarkers on the risk of oropharyngeal cancer
I
identifiability	A Bayesian approach to population estimation in capture-recapture models
Imaging Genetics	Exploring quantitative brain features associated with high genetic predisposition to Alzheimer’s disease using Compositional Data Analysis
Importance Sampling	Fitting double hierarchical generalized linear models with INLA
improper priors	A Bayesian approach to population estimation in capture-recapture models
Imputation	Biological age imputation by data depth Addressing missing genes in gene expression meta-analysis with DExMA
inclusivity	The new longevity in an inclusive society
Incubation period	COVID-19’s incubation time period by vaccination status
Infectious diseases	Predicting multidrug resistance in neutropenic cancer patients with bloodstream infection due to Pseudomonas aeruginosa Dealing with non-proportional hazards: Impact of treatment strategies on mortality in Pseudomonas aeruginosa bacteraemic pneumonia in neutropenic cancer patients
Injury burden	Estimation of injury patterns according to maturity status and timing in an elite football academy based on zero-inflated models
INLA	Urban greening and gentrification Fitting double hierarchical generalized linear models with INLA
INLAMSM	INLAMSM: Adjusting multivariate lattice models with R and INLA
insulin resistance	Recalibration of glucose and insulin determinations to evaluate differential associations of selenium with insulin resistance and β-cell function by age in two study populations
Integral priors	New developments on integral priors for Bayesian model selection
Integrative Analysis	An R pipeline using the “targets” package for Multi-Omics Integrative Analyses Integrative Analysis of Multi-Omics Data with Addition of Biological Knowledge
Interval-censored covariates	Regression analysis with interval-censored covariates. Application to liquid chromatography.
J
joint model	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Joint modelling	A two stage joint modelling of longitudinal discrete bounded outcomes and survival analysis: an application to chronic obstructive pulmonary disease patients
joint models	A joint model for the effect of body-weight fluctuation on the risk of death from a frequentist perspective.
Jump-to-reference	A solution to implement reference-based imputation with time-to-event endpoints through the illness-death multi-state model
L
latent class model	Exploring the randomness of mentally generated head-tail sequences in healthy older adults and young subjects
Latent variables	A hidden Markov model for assessing the hot hand phenomenon in basketball shooting performance
lattice data	INLAMSM: Adjusting multivariate lattice models with R and INLA
linear mixed models	A joint model for the effect of body-weight fluctuation on the risk of death from a frequentist perspective.
Liquid chromatography	Regression analysis with interval-censored covariates. Application to liquid chromatography.
longevity	The new longevity in an inclusive society
Longitudinal data	Classification in Semiparametric Nonlinear Mixed Models using P-Splines and the SAEM Algorithm Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
M
Machine Learning	Cluster analysis applied to COVID data: a study of the patient’s characteristics and disease outcomes A new algorithm to detect homogeneous damage zones applying unsupervised machine learning to remote sensing data
Markov chain Monte Carlo	Spatio-temporal quantile autoregression for detecting changes in daily temperature in northeastern Spain
Markov chains	New developments on integral priors for Bayesian model selection
Markov property	Identification of severity prognostic factors in hospitalized patients with confirmed influenza by means of a multi-state model
Matérn correlation	A spatial epidemiological model for plant pathogen diseases spread
Medical image editing	Generative adversarial networks for medical images editing
Meta-analysis	Addressing missing genes in gene expression meta-analysis with DExMA
Metabolomics	Plasma metabolomics, bone mineral density and fractures in a population-based sample from Spain: The Hortega Study Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
Metamodel	Metamodelling of multimodelling: a Bayesian meta predictive-model for Climate Change
Missing values	Addressing missing genes in gene expression meta-analysis with DExMA
Mixed model	Modeling COPD hospitalizations using variable domain functional regression
mixture models	clustglm and clustord: R packages for clustering with covariates for binary, count, and ordinal data
Multi-Omics	An R pipeline using the “targets” package for Multi-Omics Integrative Analyses Integrative Analysis of Multi-Omics Data with Addition of Biological Knowledge
Multi-state	Dynamic evaluation of COVID-19 clinical states and their prognostic factors to improve the intra-hospital patient management
multi-state model	A semi-Markov multistate model for in-hospital survival to examine the first COVID-19 wave in the Barcelona metropolitan area
Multi-state modelling	A solution to implement reference-based imputation with time-to-event endpoints through the illness-death multi-state model
multi-state models	Identification of severity prognostic factors in hospitalized patients with confirmed influenza by means of a multi-state model Assessing geographical differences in the risk of recurrent hip fracture and death via Bayesian spatial illness-death models
Multinomial regression	The importance of data visualization for a better interpretation of the results: application to a multinomial analysis of the positivity of different biomarkers on the risk of oropharyngeal cancer
Multiple Correspondence Analysis	Comparison of three scoring methods applied to the ASES-p scale for shoulder pathology
Multiple mediation	Multiple mediation for uncausally correlated mediators in survival analysis
Multiple Seasonalities	Modelling multiple seasonalities of NO2 hourly pollution levels
multiple testing	Resampling-Based Inference for High-Dimensional Regression Current statistical issues in platform trials for the evaluation of multiple treatments
multisplit	Resampling-Based Inference for High-Dimensional Regression
Multistate model	Interactive modelling and prediction of patient evolution via multistate models
Multistate models	A multi-state model to analyze hospitalized Covid-19 patients during the first three waves in the Barcelona metropolitan area Non-Markov multistate models applied to a cohort of COVID-19 patients
multivariate	clustglm and clustord: R packages for clustering with covariates for binary, count, and ordinal data
Multivariate analysis	An inferential framework for the Multiverse Analysis: the sign Flipping score test Exploring quantitative brain features associated with high genetic predisposition to Alzheimer’s disease using Compositional Data Analysis Let’s MAMBO; Multivariate Analysis and Modelling of multiple Brain Outcomes in neurogenetic studies
multivariate longitudinal data	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
Multivariate space-time modelling	Could mortality data improve short-time cancer incidence predictions?
N
Neurogenetics	Let’s MAMBO; Multivariate Analysis and Modelling of multiple Brain Outcomes in neurogenetic studies
NIMBLE	Space-time interactions in Bayesian disease mapping with NIMBLE.
Non-concurrent controls	Operating characteristics of a model-based approach to incorporate non-concurrent controls in platform trials
Non-Markov	Non-Markov multistate models applied to a cohort of COVID-19 patients
Non-proportional hazards	Dealing with non-proportional hazards: Impact of treatment strategies on mortality in Pseudomonas aeruginosa bacteraemic pneumonia in neutropenic cancer patients
nonlinear mixed models	Classification in Semiparametric Nonlinear Mixed Models using P-Splines and the SAEM Algorithm
nonparametric regression	Density regression via dependent Dirichlet process mixtures and penalised splines
O
Objective Bayes factor	New developments on integral priors for Bayesian model selection
Odds-rate models	COVID-19’s incubation time period by vaccination status
Omics	Variable selection in the omics data setting: Sure Independence Screening coupled with elastic-net and its variants
Omics data	Exploring transfer learning in omics data
optimal categorization	A new general and multivariable approach to categorize predictor variables. Optimal categorization of physical activity in COPD patients
Optimal design of experiments	Optimal designs for a non-lineal model of ethanol elimination in the human body
Oropharyngeal cancer	The importance of data visualization for a better interpretation of the results: application to a multinomial analysis of the positivity of different biomarkers on the risk of oropharyngeal cancer
P
P-splines	Constrained smoothing and out-of-range prediction using P-splines: an application to COVID-19 evolution
p16 Immunohistochemistry	The importance of data visualization for a better interpretation of the results: application to a multinomial analysis of the positivity of different biomarkers on the risk of oropharyngeal cancer
Palliative care	A prediction model for survival in patients with advanced disease: dealing with non-proportional hazards factors.
penalised splines	Density regression via dependent Dirichlet process mixtures and penalised splines
Penalized spline	Modeling COPD hospitalizations using variable domain functional regression
percentages	White blood cell profiles in Myotonic Dystrophy Type 1 mice overexpressing the MSI2 gene
Percentiles	Normative data of verbal fluency test in pediatric population from Spain: A Bayesian Regression Approach
permutation testing	Resampling-Based Inference for High-Dimensional Regression
physical activity	A new general and multivariable approach to categorize predictor variables. Optimal categorization of physical activity in COPD patients
Platform trials	Operating characteristics of a model-based approach to incorporate non-concurrent controls in platform trials
Pollution	Modelling multiple seasonalities of NO2 hourly pollution levels
Polygenic risk scores	Exploring quantitative brain features associated with high genetic predisposition to Alzheimer’s disease using Compositional Data Analysis
population estimation	A Bayesian approach to population estimation in capture-recapture models
prediabetes	Urinary Zinc and Incident Diabetes: Prospective Evidence from the Strong Heart Study
Prediction	Constrained smoothing and out-of-range prediction using P-splines: an application to COVID-19 evolution
Prediction model	Predicting multidrug resistance in neutropenic cancer patients with bloodstream infection due to Pseudomonas aeruginosa
Prediction Models	A prediction model for survival in patients with advanced disease: dealing with non-proportional hazards factors.
Predictive accuracy	Could mortality data improve short-time cancer incidence predictions?
Propensity score	Confounding by indication: the role of clinical stability on antimicrobial de-escalation in community-acquired pneumonia
proportionality	An adaptive design to handle deviations from proportionality assumption
Q
quality data	Managing REDCap Data: The R package REDCapDM
Quality of life (QoL)	A comparative study of quality of life among patients with metastatic breast cancer and breast cancer survivors: The chronic effect of the disease
R
R package	INLAMSM: Adjusting multivariate lattice models with R and INLA
Random effects	Urban greening and gentrification
random series production	Exploring the randomness of mentally generated head-tail sequences in healthy older adults and young subjects
recurrent events	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
REDCap	Managing REDCap Data: The R package REDCapDM
Reference-based imputation	A solution to implement reference-based imputation with time-to-event endpoints through the illness-death multi-state model
registry analysis	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
regression-based recalibration	Recalibration of glucose and insulin determinations to evaluate differential associations of selenium with insulin resistance and β-cell function by age in two study populations
Remote Sensing	A new algorithm to detect homogeneous damage zones applying unsupervised machine learning to remote sensing data
resampling-based inference	Resampling-Based Inference for High-Dimensional Regression
resampling-based method	An inferential framework for the Multiverse Analysis: the sign Flipping score test
Risk injury prediction	Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
S
sample size	Adaptive designs for longitudinal studies in interventional cardiology
Sample size determination	Bayesian adaptive design for a clinical trial on cardiology
sampling weights	Estimation of the area under the ROC curve with complex survey data
Score	Comparison of three scoring methods applied to the ASES-p scale for shoulder pathology
Selbal algorithm	Exploring quantitative brain features associated with high genetic predisposition to Alzheimer’s disease using Compositional Data Analysis
selective inference	Resampling-Based Inference for High-Dimensional Regression
selenium	Recalibration of glucose and insulin determinations to evaluate differential associations of selenium with insulin resistance and β-cell function by age in two study populations
semi-markov	A multi-state model to analyze hospitalized Covid-19 patients during the first three waves in the Barcelona metropolitan area
shared-parameter models	A joint model for the effect of body-weight fluctuation on the risk of death from a frequentist perspective.
Shinny app	Predicting multidrug resistance in neutropenic cancer patients with bloodstream infection due to Pseudomonas aeruginosa
Shiny app	Interactive modelling and prediction of patient evolution via multistate models
Shrinkage methods	Variable selection in the omics data setting: Sure Independence Screening coupled with elastic-net and its variants
Simulation	A spatial epidemiological model for plant pathogen diseases spread Assessment of uncertainty in biomass estimation using different statistical tools employed in fisheries management
small area estimation	A proposal for spatial small area estimation in survey studies Bayesian Small Area Estimation for the incidence of COVID-19 across Catalonia
software	clustglm and clustord: R packages for clustering with covariates for binary, count, and ordinal data
spatial models	Assessing geographical differences in the risk of recurrent hip fracture and death via Bayesian spatial illness-death models
Spatial smoothing	Bayesian hierarchical models for assessing the attitudes towards intimate partner violence against women
spatial statistics	A proposal for spatial small area estimation in survey studies Bayesian Small Area Estimation for the incidence of COVID-19 across Catalonia
Spatio-temporal interactions	Space-time interactions in Bayesian disease mapping with NIMBLE.
Spatio-temporal modelling	Estimating essential habitats combining fishery-dependent and -independent data applying Bayesian learning
spatio-temporal models	Estimation of excess mortality in 2020 in five European countries
Sportomics	Closing the gender science and statistical research gap in sports medicine: The case of FC Barcelona, the current women European Champion league winner
Sports injury prevention	Estimation of injury patterns according to maturity status and timing in an elite football academy based on zero-inflated models
Stan	Reducing the use of fungicides in agriculture by 50% with decision support systems. A Bayesian meta-analysis
Statistical inference	Operating characteristics of a model-based approach to incorporate non-concurrent controls in platform trials Current statistical issues in platform trials for the evaluation of multiple treatments
Statistical Learning	Statistical Learning Models in Classifying the Type of Meningitis
Sum-to-zero constraints	Space-time interactions in Bayesian disease mapping with NIMBLE.
Surrogacy	On a composite endpoint for cancer studies
surveillance	Spatio-temporal small area surveillance of the COVID19 in Comunitat Valenciana
Survival analysis	A semi-Markov multistate model for in-hospital survival to examine the first COVID-19 wave in the Barcelona metropolitan area Bayesian Survival Analysis of Acute-On-Chronic Liver Failure in Clinically Stable Outpatients with Cirrhosis A two stage joint modelling of longitudinal discrete bounded outcomes and survival analysis: an application to chronic obstructive pulmonary disease patients Multiple mediation for uncausally correlated mediators in survival analysis A solution to implement reference-based imputation with time-to-event endpoints through the illness-death multi-state model
survival data	A Joint Model for Multiple Longitudinal Outcomes, Recurrent and Terminal Events using CF Patient Registry Data
systematic-review	Reducing the use of fungicides in agriculture by 50% with decision support systems. A Bayesian meta-analysis
T
Time Series	Modelling multiple seasonalities of NO2 hourly pollution levels
Transfer learning	Exploring transfer learning in omics data
V
Variable domain functional regression	Modeling COPD hospitalizations using variable domain functional regression
Variable selection	Variable selection in the omics data setting: Sure Independence Screening coupled with elastic-net and its variants Normative data of verbal fluency test in pediatric population from Spain: A Bayesian Regression Approach
Violence risk	Bayesian hierarchical models for assessing the attitudes towards intimate partner violence against women
W
white blood cells	White blood cell profiles in Myotonic Dystrophy Type 1 mice overexpressing the MSI2 gene
Widmark	Optimal designs for a non-lineal model of ethanol elimination in the human body
Workflow Pipelines	An R pipeline using the “targets” package for Multi-Omics Integrative Analyses
Z
Zero-inflated models	Estimation of injury patterns according to maturity status and timing in an elite football academy based on zero-inflated models
zinc	Urinary Zinc and Incident Diabetes: Prospective Evidence from the Strong Heart Study

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