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Activity Number: 48
Type: Invited
Date/Time: Sunday, August 9, 2015 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #314206 View Presentation
Title: Latent Cluster Modeling of Spatio-Temporal Variation in Small-Area Health Data
Author(s): Andrew B. Lawson* and Duncan Lee
Companies: Medical University of South Carolina and University of Glasgow
Keywords: cluster ; space-time ; small area ; respiratory ; McMC ; Bayesian
Abstract:

In this talk I present a novel approach to spatio-temporal cluster modeling for small area health data. The basic model is developed for counts within small areas and fixed time periods and consists of a relative risk model where fixed mixture risk components are allowed to have spatial and temrporal structure. The mixture model is sampled via conventional posterior sampling algorithms with variants of Metropolised Carlin-Chib for mixture components. Temporal clustering components can be assigned to aggregated spatial regions (clusters) and inference on changepoints in time can be made. An example of smoking cessation policies in England and respiratory health will be explored.


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