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New Author Guidelines for Displaying Data and Reporting Data Analysis and Statistical Methods in Experimental

Martin C Michel1, T J Murphy1, Harvey J Motulsky2

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New guidelines from the American Society for Pharmacology and Experimental Therapeutics enhance research transparency. Statistical reporting now emphasizes effect sizes and confidence intervals over P values for clearer scientific communication.

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Area of Science:

  • Pharmacology and Experimental Therapeutics
  • Scientific Publishing
  • Biostatistics

Background:

  • The American Society for Pharmacology and Experimental Therapeutics (ASPET) has updated author instructions for key journals.
  • Revisions focus on improving the rigor and clarity of data analysis and reporting in scientific publications.
  • The goal is to enhance the transparency and reduce bias in research findings.

Purpose of the Study:

  • To detail the recent revisions to author guidelines for ASPET journals.
  • To explain the scientific rationale behind the updated statistical analysis and reporting requirements.
  • To promote more granular and transparent reporting of experimental designs and results.

Main Methods:

  • Distinguishing between preplanned (hypothesis-testing) and exploratory experiments.
  • Requiring clear explanations for sample size determination and statistical test selection.
  • Mandating disclosure of outlier exclusion criteria and methods.

Main Results:

  • Variability reporting should use standard deviation (S.D.) or interquartile range, not standard error (S.E.).
  • Precision should be reported using confidence intervals.
  • Effect sizes with confidence intervals are preferred over P values for reporting findings.

Conclusions:

  • The revised guidelines advocate for more detailed descriptions of experimental procedures and outcomes.
  • Data visualization should prioritize granularity, favoring scatter plots over bar graphs where appropriate.
  • These changes aim to foster less biased and more reproducible scientific research.