Analysis of Linked Files: A Missing Data Perspective

In many applications, researchers seek to identify overlapping entities across multiple data files. Record linkage algorithms facilitate this task, in the absence of unique identifiers. As these algorithms rely on semi-identifying information, they may miss records that represent the same entity, or incorrectly link records that do not represent the same entity. Analysis of linked files commonly ignores such linkage er- rors, resulting in biased, or overly precise estimates of the associations of interest. We view record linkage as a missing data problem, and de- lineate the linkage mechanisms that underpin analysis