OBJECTIVES: Record linkage, the process of bringing together separately compiled but related records from different databases, is essential in many areas of biomedical research. We developed a record linkage program (EpiLink), which employs a simple mathematical approach. We describe the program and present results obtained testing it in a linkage task. METHODS: EpiLink was designed to be flexible with user-friendly settings to tailor linkage and operating parameters to specific linkage tasks, and employ deterministic, probabilistic or sequential deterministic-probabilistic linkage strategies as required. The user can also standardize data format, examine linkage results and accept or discard them. We used EpiLink to link a subset of cases of the Lombardy Cancer Registry (20,724 records) with the Social Security file of the population (1,021,846 records) covered by the registry. The linkage strategy was deterministic, followed by several probabilistic linkage steps. RESULTS: Manual inspection of the results showed that EpiLink achieved 98.8% specificity and 96.5% sensitivity. CONCLUSIONS: EpiLink is a practical and accurate means of linking records from different databases that can be used by non-statisticians and is efficient in terms of human and financial resources.
OBJECTIVES: Record linkage, the process of bringing together separately compiled but related records from different databases, is essential in many areas of biomedical research. We developed a record linkage program (EpiLink), which employs a simple mathematical approach. We describe the program and present results obtained testing it in a linkage task. METHODS: EpiLink was designed to be flexible with user-friendly settings to tailor linkage and operating parameters to specific linkage tasks, and employ deterministic, probabilistic or sequential deterministic-probabilistic linkage strategies as required. The user can also standardize data format, examine linkage results and accept or discard them. We used EpiLink to link a subset of cases of the Lombardy Cancer Registry (20,724 records) with the Social Security file of the population (1,021,846 records) covered by the registry. The linkage strategy was deterministic, followed by several probabilistic linkage steps. RESULTS: Manual inspection of the results showed that EpiLink achieved 98.8% specificity and 96.5% sensitivity. CONCLUSIONS: EpiLink is a practical and accurate means of linking records from different databases that can be used by non-statisticians and is efficient in terms of human and financial resources.
Authors: Paolo Contiero; Franco Berrino; Giovanna Tagliabue; Antonio Mastroianni; Maria Gaetana Di Mauro; Sabrina Fabiano; Monica Annulli; Paola Muti Journal: Breast Cancer Res Treat Date: 2013-04-09 Impact factor: 4.872
Authors: Giovanna Tagliabue; Anna Maghini; Sabrina Fabiano; Andrea Tittarelli; Emanuela Frassoldi; Enrica Costa; Silvia Nobile; Tiziana Codazzi; Paolo Crosignani; Roberto Tessandori; Paolo Contiero Journal: Popul Health Metr Date: 2006-09-28
Authors: Alan F Karr; Matthew T Taylor; Suzanne L West; Soko Setoguchi; Tzuyung D Kou; Tobias Gerhard; Daniel B Horton Journal: PLoS One Date: 2019-09-24 Impact factor: 3.240
Authors: Giovanna Tagliabue; Roberto Tessandori; Fausta Caramaschi; Sabrina Fabiano; Anna Maghini; Andrea Tittarelli; Daniele Vergani; Maria Bellotti; Salvatore Pisani; Maria Letizia Gambino; Emanuela Frassoldi; Enrica Costa; Daniela Gada; Paolo Crosignani; Paolo Contiero Journal: Popul Health Metr Date: 2007-05-25