22 citations · 25 across the 9 of their papers we have counts for
14 papers
Bayesian estimation for conditional probabilities associated to directed acyclic graphs: study of hospitalization of severe influenza cases
Lesly Acosta, Carmen Armero
This paper presents a Bayesian inferential framework for estimating joint, conditional, and marginal probabilities in directed acyclic graphs (DAGs) applied to the study of the pro…
Bayesian regularization for flexible baseline hazard functions in Cox survival models
Elena Lázaro, Carmen Armero, Danilo Alvares
Fully Bayesian methods for Cox models specify a model for the baseline hazard function. Parametric approaches generally provide monotone estimations. Semi-parametric choices allow…
A Bayesian multivariate spatial approach for illness-death survival models
Fran Llopis-Cardona, Carmen Armero, Gabriel Sanfélix-Gimeno
Illness-death models are a class of stochastic models inside the multi-state framework. In those models, individuals are allowed to move over time between different states related…
Bayes factors for longitudinal model assessment via power posteriors
Gabriel Calvo, Carmen Armero, Luigi Spezia +1
Bayes factor, defined as the ratio of the marginal likelihood functions of two competing models, is the natural Bayesian procedure for model selection. Marginal likelihoods are usu…
Improving radiation dose estimation using the gamma-H2AX biomarker
Dorota Młynarczyk, Pedro Puig, Carmen Armero +3
To predict the health effects of accidental or therapeutic radiation exposure, one must estimate the radiation dose that person received. A well-known ionising radiation biomarker,…
Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery
Gabriel Calvo, Carmen Armero, Virgilio Gómez-Rubio +1
Laparoscopy is an operation carried out in the abdomen or pelvis through small incisions with external visual control by a camera. This technique needs the abdomen to be insufflate…
Reflection on modern methods: competing risks versus multi-state models
Fran Llopis-Cardona, Carmen Armero, Gabriel Sanfélix-Gimeno
Survival competing risks models are very useful for studying the incidence of diseases whose occurrence competes with other possible diseases or health conditions. These models per…
Bayesian analysis of population health data
Dorota Młynarczyk, Carmen Armero, Virgilio Gómez-Rubio +1
The analysis of population-wide datasets can provide insight on the health status of large populations so that public health officials can make data-driven decisions. The analysis…
Bayesian classification for dating archaeological sites via projectile points
Carmen Armero, Gonzalo García-Donato, Joaquín Jiménez-Puerto +2
Dating is a key element for archaeologists. We propose a Bayesian approach to provide chronology to sites that have neither radiocarbon dating nor clear stratigraphy and whose only…
Bayesian shared-parameter models for analysing sardine fishing in the Mediterranean Sea
Gabriel Calvo, Carmen Armero, Maria Grazia Pennino +1
European sardine is experiencing an overfishing around the world. The dynamics of the industrial and artisanal fishing in the Mediterranean Sea from 1970 to 2014 by country was ass…
Bayesian joint models for longitudinal and survival data
Carmen Armero
This paper takes a quick look at Bayesian joint models (BJM) for longitudinal and survival data. A general formulation for BJM is examined in terms of the sampling distribution of…
Bayesian longitudinal models for exploring European sardine fishing in the Mediterranean Sea
Gabriel Calvo, Carmen Armero, Maria Grazia Pennino +1
In the Mediterranean Sea, catches are dominated by small pelagic fish, representing nearly the 49\% of the total harvest. Among them, the European sardine (Sardina pilchardus) is o…
Bayesian survival analysis with BUGS
Danilo Alvares, Elena Lázaro, Virgilio Gómez-Rubio +1
Survival analysis is one of the most important fields of statistics in medicine and the biological sciences. In addition, the computational advances in the last decades have favour…
Approximate Bayesian inference for mixture cure models
Elena Lázaro, Carmen Armero, Virgilio Gómez-Rubio
Cure models in survival analysis deal with populations in which a part of the individuals cannot experience the event of interest. Mixture cure models consider the target populatio…