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Autoregressive Spatial Smoothing and Temporal Spline Smoothing for Mapping Rates
Author(s) -
MacNab Ying C.,
Dean C. B.
Publication year - 2001
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.2001.00949.x
Subject(s) - smoothing , autoregressive model , smoothing spline , spline (mechanical) , autoregressive integrated moving average , dimension (graph theory) , time series , econometrics , statistics , mathematics , computer science , structural engineering , bilinear interpolation , pure mathematics , engineering , spline interpolation
Summary. This article proposes generalized additive mixed models 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. Spatiotemporal models that 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 British Columbia infant mortality data.