Autoregressive spatial smoothing and temporal spline smoothing for mapping rates
Autoregressive spatial smoothing and temporal spline smoothing for mapping rates
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DOI：
10.1111/j.0006-341x.2001.00949.x
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发表时间：
2001-09-01
期刊：
影响因子：
1.9
通讯作者：
Dean, CB
中科院分区：
文献类型：
--
作者：
MacNab, YC;Dean, CB
本文提出了广义加性混合模型，用于分析死亡率的地理和时间变异性。这类模型适应随机空间效应和固定和随机的时间分量。时空模型，使用自回归局部平滑的空间维度和B样条平滑的时间维度。其目的是确定时间趋势，并制作一系列平滑的地图，以便监测死亡率风险的空间模式。可以跟踪具有持续高比率估计值的区域以进行进一步调查。通过对不列颠哥伦比亚省婴儿死亡率数据的分析说明了这种方法。
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.