An open-source probabilistic record linkage process for records with family-level information: Simulation study and applied analysis.

ABSTRACT: Research with administrative records involves the challenge of limited information in any single data source to answer policy-related questions. Record linkage provides researchers with a tool to supplement administrative datasets with other information about the same people when identified in separate sources as matched pairs. Several solutions are available for undertaking record linkage, producing linkage keys for merging data sources for positively matched pairs of records. In the current manuscript, we demonstrate a new application of the Python RecordLinkage package to family-based record linkages with machine learning algorithms for probability scoring, which we call probabilistic record linkage for families (PRLF). First, a simulation of administrative records identifies PRLF accur

SUBMITTER: Prindle J 

PROVIDER: S-EPMC10588881 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature