Where geography lives? A projection approach for spatial confounding
Where geography lives? A projection approach for spatial confounding
复制标题
地理生活在哪里？
DOI：
--
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Renato M. Assunccao
中科院分区：
文献类型：
--
作者：
M. Prates;Erica C. Rodrigues;Renato M. Assunccao
空间随机效应与固定效应协变量之间的空间混杂效应是近年来发现的一种新现象，它可能会给模型结果带来误导性解释。解决这一问题的方法是分解空间随机效应并拟合一个受限的空间回归。在本文中，我们提出了一种不同的方法：变换的地理空间，以确保未观察到的空间随机效应添加到回归是正交的固定效应协变量。我们的方法，名为SPOCK，提供了一个快速和简单的计算方法来估计参数的额外好处。此外，它不约束为空间误差项假设的分布类。仿真研究和一个真实的数据分析，以更好地了解新方法的优势，与现有的比较。
Spatial confounding between the spatial random effects and fixed effects covariates has been recently discovered and showed that it may bring misleading interpretation to the model results. Solutions to alleviate this problem are based on decomposing the spatial random effect and fitting a restricted spatial regression. In this paper, we propose a different approach: a transformation of the geographic space to ensure that the unobserved spatial random effect added to the regression is orthogonal to the fixed effects covariates. Our approach, named SPOCK, has the additional benefit of providing a fast and simple computational method to estimate the parameters. Furthermore, it does not constrain the distribution class assumed for the spatial error term. A simulation study and a real data analysis are presented to better understand the advantages of the new method in comparison with the existing ones.
DOI：
10.1214/10-sts326
发表时间：
2010-02
期刊：
Statistical science : a review journal of the Institute of Mathematical Statistics
影响因子：
--
作者：
Paciorek CJ
通讯作者：
Paciorek CJ