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Statistical reviewing for medical journals
1ICRF Medical Statistics Group, Centre for Statistics in Medicine, Institute of Health Sciences, Oxford, U.K. altman@icrf.icnet.uk
Statistics in Medicine
|January 9, 1999
Summary
Statistical reviewers face challenges in medical journals, impacting manuscript quality. This review details these difficulties and suggests improvements for statistical peer review effectiveness.
Area of Science:
- Medical Statistics
- Scientific Publishing
- Peer Review
Background:
- Medical journals increasingly utilize statistical reviewers to enhance manuscript quality.
- Policies on statistical peer review vary, with limited empirical evidence of effectiveness.
- The role of statisticians in medical journals extends beyond manuscript review.
Purpose of the Study:
- To review the challenges encountered by statistical reviewers in medical journals.
- To provide guidance on structuring and presenting statistical review reports.
- To explore broader interactions between statisticians and medical journals.
Main Methods:
- Review of existing literature and practices in statistical peer review for medical journals.
- Analysis of manuscript assessment criteria including study design, analysis methods, and interpretation.
- Discussion of the subjective and judgmental aspects of statistical review.
Main Results:
- Significant difficulties exist in assessing manuscript design, statistical analysis, and data presentation.
- The effectiveness of current statistical peer review practices is not well-established.
- Effective communication and structuring of reviewer reports are crucial.
Conclusions:
- Addressing the identified challenges can improve the quality of statistical peer review.
- Standardized guidelines for statistical review reports may enhance clarity and impact.
- Statisticians have diverse roles to play in improving medical journal standards.