Reporting on Statistical Methods To Adjust for Confounding: A Cross-Sectional Survey
- Marcus Müllner, MD;
- Hugh Matthews, BSc, MBBS; and
- Douglas G. Altman, DSc
Abstract
Background: The use of complex statistical models to adjust for confounding is common in medical research.
Objective: To determine the frequency and adequacy of adjustment for confounding in medical articles.
Design: Cross-sectional survey.
Setting: 34 scientific medical journals with a high impact factor.
Measurements: Frequency of reporting on methods used to adjust for confounding in 537 original research articles published in January 1998.
Results: Of the 537 articles, 169 specified that adjustment for confounding was used. In 1 paper in 10, it was unclear which statistical method was used or for which variables adjustment was made. In 45% of papers, it was not clear how multicategory or continuous variables were treated in the analysis. Inadequate reporting was less frequent if an author was affiliated with a department of statistics, epidemiology, or public health and if articles were published in journals with a high impact factor.
Conclusions: Details of methods used to adjust for confounding are frequently not reported in original research articles.
- Statistics
- Confounding factors
- Journal article [publication type]
- Models, statistical
- Cross-sectional studies
Article and Author Information
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Acknowledgments: The authors thank the BMJ staff, particularly Richard Smith, for providing the environment that enabled this research project.
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Requests for Single Reprints: Marcus Müllner, MD, Universitätsklinik für Notfallmedizin, Allgemeines Krankenhaus Wien, Währinger Gürtel 18-20/6D, A-1090 Vienna, Austria; e-mail, marcus.muellner{at}univie.ac.at.
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Current Author Addresses: Dr. Müllner: Universitätsklinik für Notfallmedizin, Allgemeines Krankenhaus Wien, Währinger Gürtel 18-20/6D, A-1090 Vienna, Austria.
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Mr. Matthews: Sandbanks, Graveney, Faversham, Kent ME13 9DJ, United Kingdom.
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Dr. Altman: ICRF Medical Statistics Group, Centre for Statistics in Medicine, Institute of Health Sciences, Old Road, Headington, Oxford OX3 7LF, United Kingdom.
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Author Contributions: Conception and design: M. Müllner, H. Matthews, D.G. Altman.
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Analysis and interpretation of the data: M. Müllner, D.G. Altman.
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Drafting of the article: M. Müllner, H. Matthews, D.G. Altman.
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Critical revision of the article for important intellectual content: M. Müllner, H. Matthews, D.G. Altman.
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Final approval of the article: M. Müllner, H. Matthews, D.G. Altman.
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Statistical expertise: M. Müllner, D.G. Altman.
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Administrative, technical, or logistic support: M. Müllner.
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Collection and assembly of data: M. Müllner, H. Matthews.
- Copyright ©2004 by the American College of Physicians
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