The analysis of infectious disease data requires separate attention because standard methods of statistical inference cannot be applied directly. The reasons for this are, that infectious disease data are highly dependent and, that the infection process is only partially observa…
The analysis of infectious disease data requires separate attention because standard methods of statistical inference cannot be applied directly. The reasons for this are, that infectious disease data are highly dependent and, that the infection process is only partially observa…
« En ce XXIe siècle, une meilleure gestion des ressources dans le secteur de la santé et des services sociaux s'impose toujours comme une priorité à la fois politique, économique et sociale. Ce mouvement de société conduit le domaine de la santé à repenser son rôle et à revoir c…
En ce XXIe siècle, une meilleure gestion des ressources dans le secteur de la santé et des services sociaux s'impose toujours comme une priorité à la fois politique, économique et sociale. Ce mouvement de société conduit le domaine de la santé à repenser son rôle et à revoir con…
Praise for the Previous EditionThis book provides a technical grounding in spatial models while maintaining a strong grasp on applied epidemiological problems. ... A welcome effort is made to clarify concepts which might, in other texts, have been skimmed over in a rush to fit m…
This work provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. It explores a range of topics in Bayesian inference and modeling, including Markov chain Monte Carlo methods, Gibbs sampling, the Metro…
Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hiera…