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An Evaluation of the Quality of Statistical Design and Analysis of Published Medical Research: Results from a Systematic Survey of General Orthopaedic Journals

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Publisher Biomed Central
Date 2012 Apr 27
PMID 22533688
Citations 19
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Abstract

Background: The application of statistics in reported research in trauma and orthopaedic surgery has become ever more important and complex. Despite the extensive use of statistical analysis, it is still a subject which is often not conceptually well understood, resulting in clear methodological flaws and inadequate reporting in many papers.

Methods: A detailed statistical survey sampled 100 representative orthopaedic papers using a validated questionnaire that assessed the quality of the trial design and statistical analysis methods.

Results: The survey found evidence of failings in study design, statistical methodology and presentation of the results. Overall, in 17% (95% confidence interval; 10-26%) of the studies investigated the conclusions were not clearly justified by the results, in 39% (30-49%) of studies a different analysis should have been undertaken and in 17% (10-26%) a different analysis could have made a difference to the overall conclusions.

Conclusion: It is only by an improved dialogue between statistician, clinician, reviewer and journal editor that the failings in design methodology and analysis highlighted by this survey can be addressed.

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References
1.
Petrie A . Statistical power in testing a hypothesis. J Bone Joint Surg Br. 2010; 92(9):1192-4. DOI: 10.1302/0301-620X.92B9.25069. View

2.
Petrie A . Statistics in orthopaedic papers. J Bone Joint Surg Br. 2006; 88(9):1121-36. DOI: 10.1302/0301-620X.88B9.17896. View

3.
Siebelt M, Siebelt T, Pilot P, Bloem R, Bhandari M, Poolman R . Citation analysis of orthopaedic literature; 18 major orthopaedic journals compared for Impact Factor and SCImago. BMC Musculoskelet Disord. 2010; 11:4. PMC: 2821374. DOI: 10.1186/1471-2474-11-4. View

4.
Bland J, Altman D . Multiple significance tests: the Bonferroni method. BMJ. 1995; 310(6973):170. PMC: 2548561. DOI: 10.1136/bmj.310.6973.170. View

5.
Altman D, Bland J . Parametric v non-parametric methods for data analysis. BMJ. 2009; 338:a3167. DOI: 10.1136/bmj.a3167. View