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Probabilistic Matching

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  • Dusetzina, S. B., Tyree, S., Meyer, A. M., et al. (2014). Linking data for health services research: A framework and instructional guide. Rockville: Agency for Healthcare Research and Quality (US).

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  • Fellegi, I. P., & Sunter, A. B. (1969). A theory for record linkage. Journal of the American Statistical Association, 64, 1183–1210.

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  • Schumacher, S. (2007). Probabilistic versus deterministic data matching: Making an accurate decision, information management special reports. Washington, DC: The Office of the National Coordinator for Health Information Technology (ONC).

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  • Winkler, W. E. (1999). The state of record linkage and current research problems. Washington, DC: Statistical Research Division, US Census Bureau.

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  • Zhang, T., & Stevens, D. W. (2012). Integrated data system person identification: Accuracy requirements and methods. https://ssrn.com/abstract=2512590; https://doi.org/10.2139/ssrn.2512590.

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Correspondence to Ting Zhang .

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Zhang, T. (2018). Probabilistic Matching. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_501-1

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_501-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32001-4

  • Online ISBN: 978-3-319-32001-4

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