A multiple imputation approach to disclosure limitation for high-age individuals in longitudinal studies
A multiple imputation approach to disclosure limitation for high-age individuals in longitudinal studies
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DOI：
10.1002/sim.3974
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发表时间：
2010-07-30
影响因子：
2
通讯作者：
McNally, James W.
中科院分区：
文献类型：
--
作者：
An, Di;Little, Roderick J. A.;McNally, James W.
披露限制是公共使用数据集发布时的一个重要考虑因素。对于纵向数据集来说尤其具有挑战性，因为随着时间的推移，有关个人的信息会通过重复测量而积累。纵向数据披露限制方法的研究非常有限。我们在这里考虑队列研究中高年龄造成的问题。由于存在披露风险，高龄受访者的年龄往往无法公布；特别是，这是《健康保险流通与责任法案》（HIPAA）对于个人健康数据发布的具体规定。对超过一定年龄的个人进行顶部编码是处理此问题的标准方法，当受影响的病例数量适中时，它可能足以用于横截面数据。然而，当个体被跟踪多年时，这种方法会导致纵向研究中信息的严重丢失。我们针对这种情况提出并评估基于多重插补（MI）的顶部编码替代方案。该 MI 方法应用于模拟数据和查尔斯顿心脏研究 (CHS) 数据的生存分析，并被证明在保持危险与协变量之间的关系方面效果良好。版权所有 (C) 2010 约翰·威利父子有限公司
Disclosure limitation is an important consideration in the release of public use data sets. It is particularly challenging for longitudinal data sets, since information about an individual accumulates with repeated measures over time. Research on disclosure limitation methods for longitudinal data has been very limited. We consider here problems created by high ages in cohort studies. Because of the risk of disclosure, ages of very old respondents can often not be released; in particular, this is a specific stipulation of the Health Insurance Portability and Accountability Act (HIPAA) for the release of health data for individuals. Top-coding of individuals beyond a certain age is a standard way of dealing with this issue, and it may be adequate for cross-sectional data, when a modest number of cases are affected. However, this approach leads to serious loss of information in longitudinal studies when individuals have been followed for many years. We propose and evaluate an alternative to top-coding for this situation based on multiple imputation (MI). This MI method is applied to a survival analysis of simulated data, and data from the Charleston Heart Study (CHS), and is shown to work well in preserving the relationship between hazard and covariates. Copyright (C) 2010 John Wiley & Sons, Ltd.