Add to ORKGPresented at The One-day Workshop on Spatial-Temporal Models in Epidemiology and Health. Faculdade de Ciências da Universidade de Lisboa, 20 June 2014.Research was partially supported by the projects PTDC/MAT/118335/2010 and FCT Pest-OE/MAT/UI0006/2011
Spatial analysis techniques are used in the data analysis of ecological studies, which consider geog...
Paper presented at the BAYSM2016 - Bayesian Young Statisticians Meeting, Florence, 19-21 June 2016N/
Objective: This article introduces Bayesian spatial–temporal modeling for social and health science ...
"Joint analysis of longitudinal and survival data has received increasing attention in the recent y...
Poster presented at the Joint Modeling and Beyond Workshop, Hasselt University, Belgium, 14-15 April...
n some studies, survival data are arranged spatially such as geographical regions. Incorporating spa...
Tese de doutoramento, Estatística e Investigação Operacional (Probabilidades e Estatística), Univers...
Many clinical trials and other medical studies generate both longitudinal (repeated measurements) an...
Doctor of Philosophy in Statistics. University of KwaZulu-Natal, Pietermaritzburg 2017.In this thesi...
Background: Bayesian models are very aexible enough to incorporate spatial correlation and to !&$ju...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Joint modeling of longitudinal data and survival data has been used widely for analyzing AIDS clinic...
In recent years, the joint models have been widely used for modeling the longitudinal and time-to-ev...
In epidemiologic and clinical studies, a relatively large number of biomarkers are repeatedly measur...
Spatial analysis techniques are used in the data analysis of ecological studies, which consider geog...
Paper presented at the BAYSM2016 - Bayesian Young Statisticians Meeting, Florence, 19-21 June 2016N/
Objective: This article introduces Bayesian spatial–temporal modeling for social and health science ...
"Joint analysis of longitudinal and survival data has received increasing attention in the recent y...
Poster presented at the Joint Modeling and Beyond Workshop, Hasselt University, Belgium, 14-15 April...
n some studies, survival data are arranged spatially such as geographical regions. Incorporating spa...
Tese de doutoramento, Estatística e Investigação Operacional (Probabilidades e Estatística), Univers...
Many clinical trials and other medical studies generate both longitudinal (repeated measurements) an...
Doctor of Philosophy in Statistics. University of KwaZulu-Natal, Pietermaritzburg 2017.In this thesi...
Background: Bayesian models are very aexible enough to incorporate spatial correlation and to !&$ju...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Several diseases have common risk factors. The joint modeling of disease outcomes within a spatial s...
Joint modeling of longitudinal data and survival data has been used widely for analyzing AIDS clinic...
In recent years, the joint models have been widely used for modeling the longitudinal and time-to-ev...
In epidemiologic and clinical studies, a relatively large number of biomarkers are repeatedly measur...
Spatial analysis techniques are used in the data analysis of ecological studies, which consider geog...
Paper presented at the BAYSM2016 - Bayesian Young Statisticians Meeting, Florence, 19-21 June 2016N/
Objective: This article introduces Bayesian spatial–temporal modeling for social and health science ...