A Statistical Method for Automatic Identification in Record Linkage

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  • レコードリンケージにおける統計モデルによる個人同定処理の自動化について
  • レコードリンケージ ニ オケル トウケイ モデル ニ ヨル コジン ドウテイ ショリ ノ ジドウカ ニ ツイテ

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Description

As computing environments improve, many data files can be created and stored easily. Some of them might be related to each other and include records on the same person. For example, hospitals have clinical records and the government has vital statistics. We often need to link these records together in medical, epidemiological or sociological research. In Japan, however, no identifica-tion number is available like the Social Security Number in the USA. Therefore, we have to link records by using common key fields (or variables) among those files, such as family name, given name, address, sex, birthdate, etc. The procedure is known as record linkage and many empirical approaches have been considered. We discuss a mathematical model based on a pair of binomial distributions and propose a statistical method for automatic identification using frequencies of fixed record values.

Journal

  • Ouyou toukeigaku

    Ouyou toukeigaku 34 (1), 1-13, 2005

    Japanese Society of Applied Statistics

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