This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 642
Type: Invited
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract - #306258
Title: Spatial Multistate Models
Author(s): Patrick Edward Brown*+
Companies: Cancer Care Ontario/Dalla Lana School of Public Health
Address: 620 University Ave, Toronto, ON, M5G 2L7, Canada
Keywords: mcmc ; spatial statistics ; disease mapping ; multi-state models

Multi-state models are useful for modelling endemic diseases, where animals are either susceptible or infected, or smoking, where individuals are either current, former, or never smokers. A model is constructed for transition probabilities, which vary with time and over space, and the data available are states at particular times. A Gaussian random field is specified for the latent spatial risk surface, and MCMC used to sample from the posterior distribution. Small-area maps of smoking from survey data and spatial risk surfaces for an endemic animal disease are produced.

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