Linked datasets are an important resource for epidemiological and clinical studies, but linkage
error can lead to biased results. For data security reasons, linkage of personal identifiers …

Objective Linkage of longitudinal administrative data for mothers and babies supports research
and service evaluation in several populations around the world. We established a linked …

Linkage of population-based administrative data is a valuable tool for combining detailed
individual-level information from different sources for research. While not a substitute for …

Database is de-identified. It does not include any information that could be used to directly
identify a person, such as names, addresses, postcodes or dates of birth. Access and outputs …

Background Linkage of electronic healthcare records is becoming increasingly important for
research purposes. However, linkage error due to mis-recorded or missing identifiers can …

Routinely collected health data, obtained for administrative and clinical purposes without
specific a priori research goals, are increasingly used for research. The rapid evolution and …

The increasing availability of large administrative databases for research has led to a dramatic
rise in the use of data linkage. The speed and accuracy of linkage have much improved …

In pharmacoepidemiology, routinely collected data from electronic health records (including
primary care databases, registries, and administrative healthcare claims) are a resource for …

Background Existing studies evaluating the association between maternal risk factors and
specific infant outcomes such as birthweight, injury admissions, and mortality have mostly …

Probabilistic record linkage techniques assign match weights to one or more potential matches
for those individual records that cannot be assigned ‘unequivocal matches’ across data …