Measuring the Quality of a Probabilistic Linkage through Clerical-Reviews

Probabilistic linkage is susceptible to linkage errors such as false positives and false negatives. In many cases, these errors may be reliably measured through clerical-reviews, i.e. the visual inspection of a sample of record pairs to determine if they are matched. A framework is described to effectively carry-out such clerical-reviews based on a probabilistic sample of pairs, repeated independent reviews of the same pairs and latent class analysis to account for clerical errors.