Abstract At Statistics Canada, matching data without unique identifiers is a common practice.
The probabilistic record linkage method developed by Ivan Fellegi and Allan Sunter1 is the …

Record linkage brings together information from records in two or more data sources that are
believed to belong to the same statistical unit based on a common set of matching variables …

ABSTRACT The Generalized Iterative Record Linkage System (GIRLS) project was initiated
at Statistics Canada in 1978. This paper outlines the concepts behind the system, and …

We consider the problem of record linkage in the situation where we have only non‐unique
identifiers, like names, sex, race etc., as common identifiers in databases to be linked. For …

Publisher Summary Record linkage consists of methods for matching duplicates within or
across files using nonunique identifiers, such as first name, last name, date of birth, address …

Probabilistic linkage (or record linkage) consists of methods for matching duplicate records
within or across files using non‐unique identifiers such as first name, last name, date of birth …

Record linkage addresses the problem of identifying pairs of records coming from different
sources and referred to the same unit of interest. Fellegi and Sunter propose an optimal …

This overview gives background on a number of statistical methods that have been proven
effective for record linkage. To prepare data for the main computational algorithms, we need …

Record linkage is the task of identifying which records from one or more data sources refer
to the same person. Often, records do not have a common key and may contain …

Modern social science research often relies on bringing together information from diferent
sources to advance our understanding about questions of interest. From studies that seek to …