Abstract #300732

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JSM 2002 Abstract #300732
Activity Number: 167
Type: Topic Contributed
Date/Time: Tuesday, August 13, 2002 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #300732
Title: Autoregressive Spatial Smoothing and Temporal Spline Smoothing for Mapping Rates
Author(s): Charmaine Dean*+ and Ying MacNab
Affiliation(s): Simon Fraser University and Children's Hospital/UBC
Address: Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada
Keywords: Spatial analysis ; Disease mapping ; Generalized additive mixed model ; Geographic epidemiology
Abstract:

Generalized additive mixed models are employed for the analysis of geographic and temporal variability of mortality rates. This class of models accommodates random spatial effects and fixed and random temporal components. Spatio-temporal models which use autoregressive local smoothing across the spatial dimension and B-spline smoothing over the temporal dimension are developed. The objective is the identification of temporal trends and the production of a series of smoothed maps from which spatial patterns of mortality risks can be monitored over time. Regions with consistently high rate estimates may be followed for further investigation. The methodology is illustrated by analysis of infant mortality data from British Columbia, Canada.

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Revised March 2002