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Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis

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  • Eberechukwu Onukwugha

    (University of Maryland School of Pharmacy)

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  • Eberechukwu Onukwugha, 2016. "Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis," PharmacoEconomics, Springer, vol. 34(2), pages 91-93, February.
  • Handle: RePEc:spr:pharme:v:34:y:2016:i:2:d:10.1007_s40273-015-0378-4
    DOI: 10.1007/s40273-015-0378-4
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    References listed on IDEAS

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    1. Chris Schilling & Duncan Mortimer & Kim Dalziel & Emma Heeley & John Chalmers & Philip Clarke, 2016. "Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease," PharmacoEconomics, Springer, vol. 34(2), pages 195-205, February.
    2. Paula K. Lorgelly & Brett Doble & Rachel J. Knott, 2016. "Realising the Value of Linked Data to Health Economic Analyses of Cancer Care: A Case Study of Cancer 2015," PharmacoEconomics, Springer, vol. 34(2), pages 139-154, February.
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    Cited by:

    1. Sarah Neubauer & Kristine Kreis & Mike Klora & Jan Zeidler, 2017. "Access, use, and challenges of claims data analyses in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(5), pages 533-536, June.

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