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Moons KG, de Groot JA, Bouwmeester W, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014;11(10):e1001744doi: 10.1371/journal.pmed.1001744.
Moons, K. G., de Groot, J. A., Bouwmeester, W., Vergouwe, Y., Mallett, S., Altman, D. G., Reitsma, J. B., & Collins, G. S. (2014). Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS medicine, 11(10), e1001744. https://doi.org/10.1371/journal.pmed.1001744
Moons, Karel G M, et al. "Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist." PLoS medicine vol. 11,10 (2014): e1001744. doi: https://doi.org/10.1371/journal.pmed.1001744
Moons KG, de Groot JA, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, Reitsma JB, Collins GS. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Med. 2014 Oct 14;11(10):e1001744. doi: 10.1371/journal.pmed.1001744. eCollection 2014 Oct. PMID: 25314315; PMCID: PMC4196729.
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PLoS Med. 2014 Oct 14;11(10):e1001744. doi: 10.1371/journal.pmed.1001744. eCollection 2014 Oct.

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

PLoS medicine

Karel G M Moons, Joris A H de Groot, Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G Altman, Johannes B Reitsma, Gary S Collins

Affiliations

  1. Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands.
  2. Department of Primary Care Health Sciences, New Radcliffe House, University of Oxford, Oxford, United Kingdom.
  3. Centre for Statistics in Medicine, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, United Kingdom.

PMID: 25314315 PMCID: PMC4196729 DOI: 10.1371/journal.pmed.1001744

Abstract

Carl Moons and colleagues provide a checklist and background explanation for critically appraising and extracting data from systematic reviews of prognostic and diagnostic prediction modelling studies. Please see later in the article for the Editors' Summary.

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