Probabilistic record linkage and an automated procedure to minimize the undecided-matched pair problem

Cadernos de Saúde Pública

Carla Jorge Machado²  Kenneth Hill¹ 

[1],Universidade Federal de Minas Gerais Faculdade de Ciências Econômicas Centro de Desenvolvimento e Planejamento RegionalBelo Horizonte,Brasil

关键词: Probability;    Records;    Cohort Studies;    Probabilidade;    Registros;    Estudo de Coortes;   

DOI  :  10.1590/S0102-311X2004000400005

来源: SciELO

【 摘 要 】

Probabilistic record linkage allows the assembling of information from different data sources. We present a procedure when a one-to-one relationship between records in different files is expected but not found. Data were births and infant deaths, 1998-birth cohort, city of São Paulo, Brazil. Pairs for which a one-to-one relationship was obtained and a best-link was found with the highest weight were taken as unequivocally matched pairs and provided information to decide on the remaining pairs. For these, an expected relationship between differences in dates of death and birth registration was found; and places of birth and death registration for neonatal deaths were likely to be the same. Such evidence was used to solve for the remaining pairs. We reduced the number of non-uniquely matched records and of uncertain matches, and increased the number of uniquely matched pairs from 2,249 to 2,827. Future research using record linkage should use strategies from first record linkage runs before a full clerical review (the standard procedure under uncertainty) to efficiently retrieve matches.

【 授权许可】

CC BY   
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