Analysis of statistical methods and errors in the articles published in the korean journal of pain

Area of Science:

• Medical Research
• Biostatistics
• Pain Management Journals

Background:

• Objective reliability in medical research hinges on sound statistical analysis.
• Many medical researchers lack sufficient statistical expertise for data analysis.
• This study addresses statistical quality in the Korean Journal of Pain (KJP).

Purpose of the Study:

• To analyze statistical methods and identify errors in KJP articles.
• To improve the overall statistical quality of published research in the KJP.

Main Methods:

• Reviewed original articles (excluding case reports/editorials) from KJP (2004-2008).
• Evaluated the types of statistical methods employed and any associated errors.

Main Results:

• 139 articles were reviewed; 20.9% had no statistical errors.
• T-tests (21.0%) and chi-square tests (15.9%) were most common.
• Common errors included "no statistics used" (40.6% of omission errors) and "parametric inference for nonparametric data" (33.9% of commission errors).

Conclusions:

• Various statistical errors were prevalent in KJP articles.
• Enhanced attention to statistical procedures and peer review is crucial.
• Improving statistical rigor will elevate the value of published medical research.