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Original research
Estimating misclassification error in a binary performance indicator: case study of low value care in Australian hospitals

Authors

  • Tim Badgery-Parker Faculty of Medicine and Health, School of Public Health, Menzies Centre for Health Policy, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Sallie-Anne Pearson Faculty of Medicine and Health, School of Public Health, Menzies Centre for Health Policy, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia PubMed articlesGoogle scholar articles
  • Adam G Elshaug Faculty of Medicine and Health, School of Public Health, Menzies Centre for Health Policy, Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia The Brookings Institution, Washington, DC, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Tim Badgery-Parker, Level 2, Charles Perkins Centre D17, The University of Sydney, Sydney, NSW 2006, Australia; tim.badgeryparker{at}sydney.edu.au
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Citation

Badgery-Parker T, Pearson S, Elshaug AG
Estimating misclassification error in a binary performance indicator: case study of low value care in Australian hospitals
BMJ Quality & Safety 2020;29:992-999.

Publication history

  • Received October 30, 2019
  • Revised February 17, 2020
  • Accepted February 23, 2020
  • First published March 12, 2020.
Online issue publication 
November 23, 2020

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© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.