90 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Instituto de Investigación Biosanitaria de GranadaES4 papers
- Instituto de Salud Carlos IIIES4 papers
- Andalusian School of Public HealthES3 papers
- Universidad de GranadaES3 papers
- Universidad de MurciaES3 papers
- Barcelona Institute for Global HealthES2 papers
- Instituto Murciano de Investigación BiosanitariaES2 papers
- Universitat Pompeu FabraES2 papers
- Université Paris Dauphine-PSLFR2 papers
- Barcelona Biomedical Research ParkES1 paper
- Basque GovernmentES1 paper
- Bellvitge University HospitalES1 paper
11 papers
Predicting MacroB12: Data-Driven Assessment of Pre-PEG B12 Utility and Clinical Caveats
Carmen Frías-Ruiz, José María Gálvez-Navas, Isabel García-Calcerrada +2
MacroB12 interference presents a significant challenge in the diagnosis of Vitamin B12 status, potentially masking true deficiency. To establish robust predictors and quantify the…
Characterisation of exposure to non-ionising electromagnetic fields in the Spanish INMA birth cohort: Study protocol
M. Gallastegi, M. Guxens, A. Jimenez-Zabala +15
Analysis of the association between exposure to electromagnetic fields of non-ionising radiation (EMF-NIR) and health in children and adolescents is hindered by the limited availab…
Cancer incidence estimation from mortality data: a validation study within a population-based cancer registry
Daniel Redondo-Sánchez, Miguel Rodríguez-Barranco, Alberto Ameijide +4
We assessed the validity of one of the most frequently used methods to estimate cancer incidence, on the basis of cancer mortality data and the incidence-to-mortality ratio IMR, th…
On integral priors for multiple comparison in Bayesian model selection
Diego Salmerón, Juan Antonio Cano, Christian P. Robert
Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior…
A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence
José Alberto Benítez-Andrades, Tania Fernández-Villa, Carmen Benavides +3
The COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human beha…
State-of-the-Art Methods for Exposure-Health Studies: results from the Exposome Data Challenge Event
Léa Maitre, Jean-Baptiste Guimbaud, Charline Warembourg +7
The exposome recognizes that individuals are exposed simultaneously to a multitude of different environmental factors and takes a holistic approach to the discovery of etiological…
Searching beyond the usual papillomavirus suspects in squamous carcinomas of the vulva, penis and head and neck
Marta Félez-Sánchez, Marleny Vergara, Silvia de Sanjosé +3
Human Papillomaviruses (HPVs) are involved in the etiology of anogenital and head and neck cancers. The HPV DNA prevalence greatly differs by anatomical site. Indeed, the high rate…
Bayesian beta nonlinear models with constrained parameters to describe ruminal degradation kinetics
Diego Salmerón
The models used to describe the kinetics of ruminal degradation are usually nonlinear models where the dependent variable is the proportion of degraded food. The method of least sq…
Educational Note: Paradoxical Collider Effect in the Analysis of Non-Communicable Disease Epidemiological Data: a reproducible illustration and web application
Miguel Angel Luque-Fernandez, Michael Schomaker, Daniel Redondo-Sanchez +3
Classical epidemiology has focused on the control of confounding but it is only recently that epidemiologists have started to focus on the bias produced by colliders. A collider fo…
Objective Bayesian hypothesis testing in binomial regression models with integral prior distributions
Diego Salmeron, Juan Antonio Cano, C. P. Robert
In this work we apply the methodology of integral priors to handle Bayesian model selection in binomial regression models with a general link function. These models are very often…
A Bayesian Joinpoint regression model with an unknown number of break-points
Miguel A. Martinez-Beneito, Gonzalo García-Donato, Diego Salmerón
Joinpoint regression is used to determine the number of segments needed to adequately explain the relationship between two variables. This methodology can be widely applied to real…