使用行政死亡记录对部分观察队列进行死亡率建模。
Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records.
作者信息
Goldstein Joshua R, Osborne Maria, Atherwood Serge, Breen Casey F
机构信息
Department of Demography, University of California, Berkeley.
出版信息
Popul Res Policy Rev. 2023 Jun;42(3). doi: 10.1007/s11113-023-09785-z. Epub 2023 Apr 26.
New advances in data linkage provide mortality researchers with access to administrative datasets with millions of mortality records and rich demographic covariates. Although these new datasets allow for high-resolution mortality research, administrative mortality records often have technical limitations, such as limited mortality coverage windows and incomplete observation of survivors. We describe a method for fitting truncated distributions that can be used for estimating mortality differentials in administrative data. We apply this method to the CenSoc datasets, which link the United States 1940 Census records to Social Security administrative mortality records. Our approach may be useful in other contexts where administrative data on deaths are available. As a companion to the paper, we release the R package , which implements the methods introduced in this paper.
数据链接方面的新进展为死亡率研究人员提供了访问包含数百万条死亡记录和丰富人口统计学协变量的行政数据集的机会。尽管这些新数据集有助于进行高分辨率的死亡率研究，但行政死亡记录往往存在技术限制，例如有限的死亡覆盖期窗口以及对幸存者观察不完整。我们描述了一种拟合截断分布的方法，该方法可用于估计行政数据中的死亡率差异。我们将此方法应用于CenSoc数据集，该数据集将美国1940年人口普查记录与社会保障行政死亡记录相链接。我们的方法在其他可获取死亡行政数据的情况下可能会有用。作为本文的补充，我们发布了R包，该包实现了本文中介绍的方法。
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