Modeling temperature effects on mortality: multiple segmented relationships with common break points
Modeling temperature effects on mortality: multiple segmented relationships with common break points
复制标题
DOI：
10.1093/biostatistics/kxm057
复制
发表时间：
2008-10-01
期刊：
影响因子：
2.1
通讯作者：
Muggeo, Vito M. R.
中科院分区：
文献类型：
--
作者：
Muggeo, Vito M. R.
我们提出了一个估计温度对死亡率影响的模型，该模型能够共同捕捉每种温度-死亡关系的典型特征，即冷和热在几天内的非线性和滞后效应。利用分段近似和基于双罚样条的分布滞后参数化，给出了与冷、热相关的风险和耐热性的估计和相关的标准误差。将该模型应用于意大利米兰的数据。
We present a model for estimation of temperature effects on mortality that is able to capture jointly the typical features of every temperature-death relationship, that is, nonlinearity and delayed effect of cold and heat over a few days. Using a segmented approximation along with a doubly penalized spline-based distributed lag parameterization, estimates and relevant standard errors of the cold- and heat-related risks and the heat tolerance are provided. The model is applied to data from Milano, Italy.