The public-use National Health Interview Survey linked mortality files: Methods of reidentification risk avoidance and comparative analysis
The public-use National Health Interview Survey linked mortality files: Methods of reidentification risk avoidance and comparative analysis
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DOI：
10.1093/aje/kwn123
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发表时间：
2008-08-01
影响因子：
5
通讯作者：
Cox, Christine
中科院分区：
文献类型：
--
作者：
Lochner, Kimberly;Hummer, Robert A.;Cox, Christine
国家卫生统计中心（NCHS）对其主要的基于人口的调查进行死亡率跟踪。2004年，NCHS更新了1986-2000年全国健康访谈调查（NHIS）的死亡率跟踪，由于保密保护，只能通过NCHS研究数据中心提供。2007年，NCHS发布了NHIS关联死亡率文件的公共使用版本，其中包括有限数量的死者扰动信息。对公共使用版本的修改包括进行重新识别风险情景，以确定重新识别的风险记录，然后对选定的记录样本的日期或死因进行估算。为了证明公共使用和限制使用版本的关联死亡率文件之间的可比性，作者使用考克斯比例风险模型估计了全因和特定原因死亡率风险的相对风险。1986-2000年NHIS关联死亡率文件汇总包含1，576，171条记录和120，765例死亡。比较分析的样本包括897，232份记录和114，264例死亡。比较分析表明，两个数据文件得出的全因死亡率和特定原因死亡率结果非常相似。分析时的考虑因素，检查具体原因分析的数字小的人口统计学亚组的地址。
The National Center for Health Statistics (NCHS) conducts mortality follow-up for its major population-based surveys. In 2004, NCHS updated the mortality follow-up for the 1986-2000 National Health Interview Survey (NHIS) years, which because of confidentiality protections was made available only through the NCHS Research Data Center. In 2007, NCHS released a public-use version of the NHIS Linked Mortality Files that includes a limited amount of perturbed information for decedents. The modification of the public-use version included conducting a reidentification risk scenario to determine records at risk for reidentification and then imputing values for either date or cause of death for a select sample of records. To demonstrate the comparability between the public-use and restricted-use versions of the linked mortality files, the authors estimated relative hazards for all-cause and cause-specific mortality risk using a Cox proportional hazards model. The pooled 1986-2000 NHIS Linked Mortality Files contain 1,576,171 records and 120,765 deaths. The sample for the comparative analyses included 897,232 records and 114,264 deaths. The comparative analyses show that the two data files yield very similar results for both all-cause and cause-specific mortality. Analytical considerations when examining cause-specific analyses of numerically small demographic subgroups are addressed.