Probabilistic record linkage

نویسندگان
چکیده

منابع مشابه

Probabilistic Linkage of Persian Record with Missing Data

Extended Abstract. When the comprehensive information about a topic is scattered among two or more data sets, using only one of those data sets would lead to information loss available in other data sets. Hence, it is necessary to integrate scattered information to a comprehensive unique data set. On the other hand, sometimes we are interested in recognition of duplications in a data set. The i...

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Probabilistic record linkage

Studies involving the use of probabilistic record linkage are becoming increasingly common. However, the methods underpinning probabilistic record linkage are not widely taught or understood, and therefore these studies can appear to be a 'black box' research tool. In this article, we aim to describe the process of probabilistic record linkage through a simple exemplar. We first introduce the c...

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Validating Distance-Based Record Linkage with Probabilistic Record Linkage

This work compares two alternative methods for record linkage: distance based and probabilistic record linkage. It compares the performance of both approaches when data is categorical. To that end, a distance over ordinal and nominal scales is defined. The paper shows that, for categorical data, distance-based and probabilistic-based record linkage lead to similar results in relation to the num...

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Probabilistic Record Linkage for Genealogical Research

The most slow and tedious job in genealogical research is searching civil or church records for information about an individual. But, this is an essential step in research. By searching multiple sources such as census records, wills, deeds, birth and death records we can compile a more complete set of information, and potentially the pedigree of an individual. When records are stored electronic...

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G-LINK: A Probabilistic Record Linkage System

At Statistics Canada, matching data without unique identifiers is a common practice. The probabilistic record linkage method developed by Ivan Fellegi and Allan Sunter 1 is the primary method recommended by Statistics Canada for this type of matching. In recent decades, work began to generalize the Fellegi–Sunter algorithm in order to offer our community the opportunity to use this methodology ...

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ژورنال

عنوان ژورنال: International Journal of Epidemiology

سال: 2015

ISSN: 0300-5771,1464-3685

DOI: 10.1093/ije/dyv322