PROBABILISTIC LINKAGE OF LARGE PUBLIC-HEALTH DATA FILES
PROBABILISTIC LINKAGE OF LARGE PUBLIC-HEALTH DATA FILES
复制标题
DOI：
10.1002/sim.4780140510
复制
发表时间：
1995-03-15
影响因子：
2
通讯作者：
JARO, MA
中科院分区：
文献类型：
--
作者：
JARO, MA
概率链接技术使得以统计上合理的方式链接大型公共卫生数据库变得可行和高效。该方法所解决的问题是，在不确定的条件下，匹配两个文件的个人数据。每个字段都有误差，误差由字段在给定记录对匹配的情况下一致的概率（称为m概率）和其值状态的偶然一致的概率（称为u概率）来衡量。费莱吉和桑特开创了记录联系理论。方法学的进步包括使用EM算法进行参数估计，通过线性和分配程序优化匹配，以及最近的一个概率模型，该模型针对字段的所有值状态的m和u概率。这提供了一种从非均匀分布的场获得更高精度的方法，而无需单独基于频率的匹配引起的理论复杂性。该模型包括一个迭代的参数估计过程，这是更强大的比匹配前的估计技术。该方法最初是由作者在美国人口普查局开发和测试的，用于人口普查统计不足估计。通过将高速公路撞车事故与紧急医疗服务（EMS）报告和国家公路交通安全管理局（NHTSA）的入院记录联系起来，对最近的进展和新的通用软件系统进行了测试和验证。
Probabilistic linkage technology makes it feasible and efficient to link large public health databases in a statistically justifiable manner. The problem addressed by the methodology is that of matching two files of individual data under conditions of uncertainty. Each field is subject to error which is measured by the probability that the field agrees given a record pair matches (called the m probability) and probabilities of chance agreement of its value states (called the u probability). Fellegi and Sunter pioneered record linkage theory. Advances in methodology include use of an EM algorithm for parameter estimation, optimization of matches by means of a linear sum assignment program, and more recently, a probability model that addresses both m and u probabilities for all value states of a field. This provides a means for obtaining greater precision from non-uniformly distributed fields, without the theoretical complications arising from frequency-based matching alone. The model includes an iterative parameter estimation procedure that is more robust than pre-match estimation techniques. The methodology was originally developed and tested by the author at the U.S. Census Bureau for census undercount estimation. The more recent advances and a new generalized software system were tested and validated by linking highway crashes to Emergency Medical Service (EMS) reports and to hospital admission records for the National Highway Traffic Safety Administration (NHTSA).