Wajda A, Roos L L
Faculty of Management, University of Manitoba, Winnipeg, Canada.
Comput Biol Med. 1987;17(4):239-48. doi: 10.1016/0010-4825(87)90010-2.
Although the methodology of record linkage is fairly well developed, there is a need for less expensive methods and simpler software to facilitate trying out different tactics to generate good linkages. The present work has built on a fourth generation language SAS (Statistical Analysis System) with accompanying macroprocessor, to develop a user-friendly and flexible system for both exact and probabilistic matching. The major features of the LINKS system are presented and illustrated using 1979-1984 information from the Manitoba Health Services Commission (MHSC) registry file with the Canadian Mortality Data Base. Initial runs with exact, then probabilistic, matching linked approximately 91% of the Vital Statistics records to corresponding MHSC records. Subsequent modification of parameters improved the linkage to 95%.
尽管记录链接的方法已经相当成熟,但仍需要成本更低的方法和更简单的软件,以便于尝试不同策略来生成良好的链接。目前的工作基于第四代语言SAS(统计分析系统)及其附带的宏处理器,开发了一个用于精确匹配和概率匹配的用户友好且灵活的系统。本文介绍了LINKS系统的主要特性,并使用曼尼托巴省卫生服务委员会(MHSC)登记文件与加拿大死亡率数据库中的1979 - 1984年信息进行了说明。最初进行精确匹配,然后是概率匹配,大约91%的人口动态统计记录与相应的MHSC记录成功链接。随后对参数进行修改后,链接率提高到了95%。