title: Spatial competing risk models in disease mapping.
abstract: Often it is required that the 'health status' of an area must be assessed and this involves the analysis of a range of different diseases within one study window. This often arises, for example, when disease cluster alarms are sounded and there is a need to provide a general overview of health in the vicinity of he cluster area. Our approach leads to the consideration of the joint spatial distribution of a 'basket' of diseases. We examine the use of weighting schemes within our general formulation, and extensions to count data and spatio-temporal modelling.
authors.affiliation: Department of Mathematical Sciences, University of Aberdeen, AB24 3UE, UK.
authors.forename: A B
authors.initials: AB
authors.lastname: Lawson
authors.forename: F L
authors.initials: FL
authors.lastname: Williams
mesh_terms: D000397:Air Pollution / Q000009:adverse effects; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D009026:Mortality / Q000639:trends; D012307:Risk Factors; D012606:Scotland / Q000453:epidemiology; D017062:Small-Area Analysis