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CHecklist for statistical Assessment of Medical Papers: the CHAMP statement
  1. Mohammad Ali Mansournia1,2,
  2. Gary S Collins3,4,
  3. Rasmus Oestergaard Nielsen5,6,
  4. Maryam Nazemipour7,
  5. Nicholas P Jewell8,9,
  6. Douglas G Altman3,
  7. Michael J Campbell10
  1. 1Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2Sports Medicine Research Center, Tehran University of Medical Sciences, Neuroscience Institute, Tehran, Iran
  3. 3Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
  4. 4National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
  5. 5Department of Public Health, Section for Sports Science, Aarhus University, Aarhus, Denmark
  6. 6Research Unit for General Practice, Aarhus, Denmark
  7. 7Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
  8. 8Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
  9. 9Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley, California, USA
  10. 10ScHARR, University of Sheffield, Sheffield, UK
  1. Correspondence to Professor Mohammad Ali Mansournia, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, 14155-6446 Tehran, Iran; mansournia_ma{at}yahoo.com; Dr Maryam Nazemipour, Psychosocial Health Research Institute, Iran University of Medical Sciences, 14665-354 Tehran, Iran; nazemipour.m{at}iums.ac.ir

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Despite efforts to improve the statistical quality of research articles in medical journals, serious statistical errors or deficiencies in the design, analysis, reporting and interpretation still occur, even in highly ranked journals.1 Flawed statistics and methodology will negatively affect the study results and could consequently impact public health and patient care.2 Despite numerous educational papers on biostatistics as well as reporting guidelines including CONsolidated Standards Of Reporting Trials, STrengthening the Reporting of OBservational studies in Epidemiology, STAndards for the Reporting of Diagnostic accuracy studies, REporting recommandations for tumor MARKer prognostic studies, and Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (and others as listed in the Enhancing the QUAlity and Transparency Of health Research network; www.equator-network.org) endorsed by many journals, the methodological quality of medical publications still remains low.3 Editors and reviewers may not have expert knowledge of statistics, and worse, could remain unconvinced about the importance of solid methodology in medical research.4 Thus, …

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Footnotes

  • Twitter @RUNSAFE_Rasmus

  • Deceased Douglas G Altman’s deceased date: 3 June 2018

  • Contributors MAM, MN and DGA produced the first draft. GSC, RON, NPJ and MJC suggested revisions. All authors approved the final version.

  • Funding GSC was supported by the National Institute for Health Research Biomedical Research Centre, Oxford, and Cancer Research UK (programme grant: C49297/A27294).

  • Competing interests None declared.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

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