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Updated: Jan 1, 2026

Author Spotlight: Biological Standardization to Ensure Reproducibility and Harmonization in Research
Published on: August 4, 2023
New Author Guidelines for Displaying Data and Reporting Data Analysis and Statistical Methods in Experimental
Martin C Michel1, T J Murphy1, Harvey J Motulsky2
1Department of Pharmacology, Johannes Gutenberg University, Mainz, Germany (M.C.M.); Partnership for the Assessment and Accreditation of Scientific Practice, Heidelberg, Germany (M.C.M.); Department of Pharmacology and Chemical Biology, Emory University, Atlanta, Georgia (T.J.M.); and GraphPad Software, Los Angeles, California (H.J.M.).
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.
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.
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