Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.
Efficient mapping and geographic disparities in breast cancer mortality at the county-level by race and age in the U.S.
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DOI：
10.1016/j.sste.2013.03.002
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发表时间：
2013-06
影响因子：
3.4
通讯作者：
Schootman M
中科院分区：
文献类型：
--
作者：
Chien LC;Yu HL;Schootman M
这项研究确定了美国各地乳腺癌死亡率的地理差异，使用克里金法来克服由于保密性和可靠性问题而导致的数据不可用。一个结构化的加性回归模型被用来检测1982-2004年期间美国3109个县的9个部门的乳腺癌死亡率升高的地方。我们的分析确定了至少25.8%的县乳腺癌死亡率升高。与低风险县相比，高风险县非洲裔美国妇女的相对风险高于白色妇女。非裔美国女性和年轻女性更有可能存在更大的地理差异。总之，我们的统计方法减少了不可用数据的影响，并确定了美国各地按种族和年龄划分的乳腺癌死亡率高的县的数量和位置。
This study identified geographic disparities in breast cancer mortality across the U.S. using kriging to overcome unavailability of data because of confidentiality and reliability concerns. A structured additive regression model was used to detect where breast cancer mortality rates were elevated across nine divisions with 3109 U.S. counties during 1982-2004. Our analysis identified at least 25.8% of counties where breast cancer mortality rates were elevated. High-risk counties compared to lower-risk counties had higher relative risks for African American women than for White women. Greater geographic disparities more likely present in African American women and younger women. To sum up, our statistical approach reduced the impact of unavailable data, and identified the number and location of counties with high breast cancer mortality risk by race and age across the United States.