Implementation and validation of a probabilistic linkage method for population databases without identification variables.

ABSTRACT: Linking records of the same person from different sources makes it possible to build administrative cohorts and perform longitudinal analyzes, as an alternative to traditional cohort studies, and have important practical implications in producing knowledge in public health. We implemented the Fellegi-Sunter probabilistic linkage method to a sample of records from the Mexican Automated System for Hospital Discharges and the Statistical and Epidemiological System for Deaths and evaluated its performance. The records in each source were randomly divided into a training sample (25%) and a validation sample (75%). We evaluated different types of blocking in terms of complexity reduction and pairs completeness, and record linkage in terms of sensitivity and positive predictive value. In the vali

SUBMITTER: Quezada-Sanchez AD 

PROVIDER: S-EPMC9793263 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature