Resultats globals: 5 registres trobats en 0.02 segons.
Articles, 5 registres trobats
Articles 5 registres trobats  
1.
15 p, 1.9 MB Bayesian analysis of population health data / Młynarczyk, Dorota (Universitat Autònoma de Barcelona. Departament de Matemàtiques) ; Armero, Carmen (Universitat de València. Departament d'Estadística i Investigació Operativa) ; Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha. Departamento de Matemáticas) ; Puig, Pedro (Universitat Autònoma de Barcelona. Departament de Matemàtiques)
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 of such datasets often requires highly parameterized models with different types of fixed and random effects to account for risk factors, spatial and temporal variations, multilevel effects and other sources on uncertainty. [...]
2021 - 10.3390/math9050577
Mathematics, Vol. 9, Issue 5 (March 2021) , art. 577  
2.
28 p, 783.0 KB Missing data analysis and imputation via latent Gaussian Markov random fields / Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha) ; Cameletti, Michela (University of Bergamo) ; Blangiardo, Marta (Imperial College London)
This paper recasts the problem of missing values in the covariates of a regression model as a latent Gaussian Markov random field (GMRF) model in a fully Bayesian framework. The proposed approach is based on the definition of the covariate imputation sub-model as a latent effect with a GMRF structure. [...]
2022 - 10.2436/20.8080.02.124
SORT : statistics and operations research transactions, Vol. 46 Núm. 2 (2022) , p. 217-244 (Articles)  
3.
8 p, 2.1 MB Radiation dose estimation with time-since-exposure uncertainty using the -H2AX biomarker / Młynarczyk, Dorota (Universitat Autònoma de Barcelona. Departament de Matemàtiques) ; Puig, Pedro (Universitat Autònoma de Barcelona. Departament de Matemàtiques) ; Armero, Carmen (Universitat de València) ; Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha) ; Barquinero, Joan Francesc (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ; Pujol Canadell, Mònica (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
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, phosphorylated -H2AX protein, is used to evaluate cell damage and is thus suitable for the dose estimation process. [...]
2022 - 10.1038/s41598-022-24331-1
Scientific reports, Vol. 12 (November 2022) , art. 19877  
4.
20 p, 572.3 KB Bayesian hierarchical nonlinear modelling of intra-abdominal volume during pneumoperitoneum for laparoscopic surgery / Calvo, Gabriel (Universitat de València. Departament d'Estadística i Investigació Operativa) ; Armero, Carmen (Universitat de València. Departament d'Estadística i Investigació Operativa) ; Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha. Departamento de Matemáticas) ; Mazzinari, Guido (Hospital Universitari i Politècnic La Fe (València))
Laparoscopy is an operation carried out in the abdomen through small incisions with visual control by a camera. This technique needs the abdomen to be insufflated with carbon dioxide to obtain a working space for surgical instruments' manipulation. [...]
2021 - 10.2436/20.8080.02.113
SORT : statistics and operations research transactions, Vol. 45 Núm. 2 (July-December 2021) , p. 143-162 (Articles)  
5.
24 p, 3.9 MB Bayesian joint spatio-temporal analysis of multiple diseases / Gómez-Rubio, Virgilio (Universidad de Castilla-La Mancha) ; Palmí-Perales, Francisco (Universidad de Castilla-La Mancha) ; López-Abente, Gonzalo (Instituto de Salud Carlos III) ; Ramis, Rebeca (Instituto de Salud Carlos III) ; Fernández-Navarro, Pablo (Instituto de Salud Carlos III)
In this paper we propose a Bayesian hierarchical spatio-temporal model for the joint analysis of multiple diseases which includes specific and shared spatial and temporal effects. Dependence on shared terms is controlled by disease-specific weights so that their posterior distribution can be used to identify diseases with similar spatial and temporal patterns. [...]
2019 - 10.2436/20.8080.02.79
SORT : statistics and operations research transactions, Vol. 43 Núm. 1 (January-June 2019) , p. 51-74 (Articles)  

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