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Hierarchical Bayesian models are proposed for over-dispersed longitudinal spatially correlated binomial data. This class of models accounts for correlation among regions by using random effects and allows a flexible modelling of spatiotemporal odds by using smoothing splines. The aim is (i) to develop models which will identify temporal trends of odds and(More)
The aim of this paper is to analyze the relationship between North Atlantic Oscillation (NAO), meteorological variables, air pollutants, and hospital admissions due to diseases of circulatory systems in Lisbon (Portugal) during winter months (2003-2012). This paper is one of the few studies analyzing the impact of NAO on health through its influence on(More)
Extracellular adenosine 5′-triphosphate (ATP) has significant effects on a variety of pathological conditions and it is the main physiological agonist of P2X7 purinergic receptor (P2X7R). It is known that ATP acting via purinergic receptors plays a relevant role on skin inflammation, and P2X7R is required to neutrophil recruitment in a mice model of(More)
BACKGROUND Accurate assessment of estrogen (ER) and progesterone (PR) receptors is critical in predicting the response to endocrine therapies in breast cancer. MATERIAL AND METHODS From a series of 360 patients with breast invasive carcinoma assessed for hormone receptors by immunohistochemistry (IHC) in the 90's, we re-analysed, on the same tumour(More)
In the last decade, forest fires have become one of the worst natural disasters in Portugal, causing great forest devastation, leading to both economic and environmental losses and putting at risk populations and the livelihoods of the forest itself. In this paper we present Bayesian hierarchical models to analyze spatio-temporal fire data on the proportion(More)
Hierarchical Bayesian models are proposed for overdispersed longitudinal and spatially correlated binomial data. This class of models accounts for correlation among regions by using random effects and allows a flexible modelling of spatiotemporal odds by using smoothing splines. The aim is to identify temporal trends and produce smoothed maps including(More)
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