With the advent of routine health data indexed at a fine geographical resolution, small area
disease mapping studies have become an established technique in geographical …

Disease mapping is the area of epidemiology that estimates the spatial pattern in disease
risk over an extended geographical region, so that areas with elevated risk levels can be …

Assembling a collection of very prominent researchers in the field, the Handbook of Spatial
Statistics presents a comprehensive treatment of both classical and state-of-the-art aspects …

Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …

Meaningful quantification of data and structural uncertainties in conceptual rainfall‐runoff
modeling is a major scientific and engineering challenge. This paper focuses on the total …

Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …

Bayesian methods combine the evidence from the data at hand with previous quantitative
knowledge to analyse practical problems in a wide range of areas. The calculations were …

Spatial epidemiology is the description and analysis of the geographical distribution of
disease. It is more important now than ever, with modern threats such as bio-terrorism …

The use of survival models involving a random effect or 'frailty'term is becoming more
common. Usually the random effects are assumed to represent different clusters, and …

This review examines the state of Bayesian thinking as Statistics in Medicine was launched
in 1982, reflecting particularly on its applicability and uses in medical research. It then looks …