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The Lancet's statistical review process: areas for improvement by authors
S M Gore1, G Jones, S G Thompson
1MRC Biostatistics Unit, Cambridge, UK.
Lancet (London, England)
|July 11, 1992
Summary
Statistical review of submitted papers revealed significant issues in methodology and inference. Many studies required substantial revisions or were rejected due to statistical inadequacies, highlighting a need for improved scientific reporting.
Area of Science:
- Medical research methodology
- Statistical analysis in publications
Background:
- The Lancet implemented statistical review for manuscripts post-conventional review.
- This review aimed to identify common statistical and methodological shortcomings in submitted papers.
Purpose of the Study:
- To summarize criticisms from statistical reviewers on submitted manuscripts.
- To assess the quality of statistical methods, reporting, and inference in medical publications.
Main Methods:
- Analysis of statistical review feedback for 191 papers submitted to The Lancet between November 1990 and June 1991.
- Categorization of papers based on reviewer recommendations (acceptable, revision needed, rejection).
Main Results:
- Only 54% of papers were acceptable or acceptable after revision; 14% were recommended for rejection.
- Method and results descriptions were inadequate in ~50% of papers; abstracts and conclusions were inadequate in ~25%.
- Major inference errors, linked to analysis or design flaws, occurred in 48 papers.
Conclusions:
- A significant proportion of submitted medical papers exhibit statistical and methodological deficiencies.
- Authors need to improve the justification of conclusions based on study design and statistical analysis.
- Statistical review is crucial for ensuring the validity and reliability of published research.
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