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Graphics and statistics for cardiology: clinical prediction rules

Authors

  • Mark Woodward The George Institute for Global Health, University of Oxford, Oxford, UK The George Institute for Global Health, University of Sydney, Sydney, Australia Cardiovascular Epidemiology Unit, Institute of Cardiovascular Research, University of Dundee, Dundee, UK Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA PubMed articlesGoogle scholar articles
  • Hugh Tunstall-Pedoe Cardiovascular Epidemiology Unit, Institute of Cardiovascular Research, University of Dundee, Dundee, UK PubMed articlesGoogle scholar articles
  • Sanne AE Peters The George Institute for Global Health, University of Oxford, Oxford, UK PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Mark Woodward, The George Institute for Global Health, Oxford Martin School, University of Oxford, 34 Broad Street, Oxford OX1 3BD, UK; mark.woodward{at}georgeinstitute.ox.ac.uk
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Citation

Woodward M, Tunstall-Pedoe H, Peters SA
Graphics and statistics for cardiology: clinical prediction rules
Heart 2017;103:538-545.

Publication history

  • Received October 6, 2016
  • Accepted December 23, 2016
  • First published February 8, 2017.
Online issue publication 
January 18, 2021

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Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/