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Statistical Methods in Experimental Pathology: A Review and Primer.

Douglas A Mata1, Danny A Milner2

  • 1Foundation Medicine, Inc., Cambridge, Massachusetts.

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This summary is machine-generated.

Statistical reporting in pathology needs improvement. A review found overreliance on parametric tests and underuse of correlation and regression analyses, impacting research reliability.

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Area of Science:

  • Experimental Pathology
  • Biostatistics

Background:

  • Statistical methods are crucial for the reliability of published experimental pathology literature.
  • There is growing interest in the quality of statistical reporting within pathology research.

Purpose of the Study:

  • To review statistical methods used in recent publications in the American Journal of Pathology.
  • To identify common statistical practices and their implications for contemporary pathology research and practice.

Main Methods:

  • A retrospective review of statistical tests employed in 195 articles from 10 recent issues of the American Journal of Pathology.
  • Summarization of statistical tests and analysis of their appropriate application.

Main Results:

  • 93% of articles reported using at least one statistical test.
  • Infrequent reporting of normality tests, overutilization of parametric hypothesis tests, and underuse of post hoc tests following analysis of variance.
  • Underutilization of correlation, regression, and survival analysis techniques.

Conclusions:

  • Current statistical reporting in experimental pathology may compromise the reliability and value of published findings.
  • A need exists for enhanced statistical education and adherence to best practices in pathology research, including appropriate use of descriptive, comparative, regression, and survival analyses.