Bayesian Analysis and Mapping of Mortality Rates for Chronic Obstructive Pulmonary Disease
Bayesian Analysis and Mapping of Mortality Rates for Chronic Obstructive Pulmonary Disease
复制标题
慢性阻塞性肺疾病死亡率的贝叶斯分析和绘图
DOI：
10.1080/01621459.2000.10474307
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发表时间：
2000
影响因子：
3.7
通讯作者：
L. Pickle
中科院分区：
文献类型：
--
作者：
B. Nandram;J. Sedransk;L. Pickle
摘要本文总结了我们对白色男性慢性阻塞性肺疾病（COPD）年龄别死亡率和年龄调整死亡率的估计研究。我们的目标是更精确和信息显示（比以前可用）的COPD年龄特异性死亡率的地理变异，并调查死亡率的地理变异和选定的协变量的相应变异之间的关系。对于一个给定的年龄组，我们的估计显示在平均率的choropleth地图。我们开发了一个变异图，以确定推断可靠的地理区域。在这里，通过考虑一组使用人口死亡率后验分布样本生成的地图来测量变化。最后，我们描述了特定年龄的地图中的空间格局，并将其与潜在的解释协变量（如吸烟率，年降雨量，人口密度，海拔和空气质量的措施）的格局联系起来。
Abstract This article summarizes our research on estimation of age-specific and age-adjusted mortality rates for chronic obstructive pulmonary disease (COPD) for white males. Our objectives are more precise and informative displays (than previously available) of geographic variation of the age-specific mortality rates for COPD, and investigation of the relationships between the geographic variation in mortality rates and the corresponding variation in selected covariates. For a given age class, our estimates are displayed in a choropleth map of mean rates. We develop a variation map that identifies the geographical areas where inferences are reliable. Here, the variation is measured by considering a set of maps produced using samples from the posterior distribution of the population mortality rates. Finally, we describe the spatial patterns in the age-specific maps and relate these to patterns in potential explanatory covariates such as smoking rate, annual rainfall, population density, elevation, and measures of air quality.
使用地理信息系统检查儿童哮喘与交通流量之间的关联。
影响因子：
10.4
作者：
通讯作者：
--
影响因子：
5.4
作者：
Schwartz, J;Neas, LM
通讯作者：
Neas, LM