Cluster modelling of disease incidence via RJMCMC methods: a comparative evaluation

✍ Scribed by Andrew B. Lawson

• Publisher: John Wiley and Sons
• Year: 2000
• Tongue: English
• Weight: 180 KB
• Volume: 19
• Category: Article
• ISSN: 0277-6715
• DOI: 10.1002/1097-0258(20000915/30)19:17/18<2361::aid-sim575>3.0.co;2-n

✦ Synopsis

The spatial modelling of small area health data has, for some time, included spatial autocorrelation as a random e ect. This e ect is non-speciÿc and global and does not address the location of clusters of disease (a speciÿc task). This paper addresses the need for speciÿc and non-speciÿc random e ects within spatial epidemiology. In addition, individual frailty is also considered important and a computational algorithm based on reversible jump Markov chain Monte Carlo (RJMCMC) methods is described.