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Related Experiment Video

Updated: Oct 13, 2025

Robust Comparison of Protein Levels Across Tissues and Throughout Development Using Standardized Quantitative Western Blotting
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Transparency considerations for describing statistical analyses in research.

Sang Kyu Kwak1, Jonghae Kim2

  • 1Department of Medical Statistics, Daegu Catholic University School of Medicine, Daegu, Korea.

Korean Journal of Anesthesiology
|November 16, 2021
PubMed
Summary
This summary is machine-generated.

Statistical analysis reporting in clinical research needs improvement. While methods are stated, authors often omit crucial details like test sidedness, impacting research transparency and accuracy.

Keywords:
Data analysisProbabilityResearchSoftwareStatistical data interpretationStatistics

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Area of Science:

  • Medical Research
  • Biostatistics
  • Scientific Publishing

Background:

  • Accurate reporting of statistical analyses is crucial for scientific integrity and data interpretation in clinical research.
  • Manuscripts require detailed statistical analysis sections for transparency and reproducibility.
  • The Korean Journal of Anesthesiology was chosen to evaluate statistical reporting quality.

Purpose of the Study:

  • To assess the quality of statistical analysis reporting in clinical research articles.
  • To identify specific areas of weakness in the statistical methods sections.
  • To emphasize the importance of comprehensive reporting for scientific accuracy.

Main Methods:

  • A review of clinical research articles published in the Korean Journal of Anesthesiology (Feb 2020-Feb 2021).
  • Assessment of 6 items using a Likert scale (1-3) for completeness of description.
  • Items included: statistical methods stated, rationale/detail of methods, derived parameters, software used, significance level, and test sidedness.

Main Results:

  • All articles stated their statistical analysis methods (score of 3).
  • Only 4 articles (12.9%) fully described the sidedness of the statistical tests (score of 3).
  • Authors frequently neglect to detail the sidedness of statistical tests.

Conclusions:

  • While basic statistical methods are reported, critical details like test sidedness are often missing.
  • Incomplete reporting of statistical analysis, particularly test sidedness, hinders scientific transparency.
  • Authors must ensure comprehensive reporting of statistical methods for robust clinical research.