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June 14, 2026Clinical EpidemiologyOpen Access

Making Statistics Clinically Meaningful

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Authors

JPJanet L. PeacockPPPhilip J. PeacockEHErzsébet Horváth–Puhó

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Overview

Perspectives-style article discusses enhancing the clinical application of statistical findings in evidence-based medicine, indicating the need for interdisciplinary dialogue.

Key Points

  • The aim is to improve the interpretability and practical application of statistical findings in clinical settings.
  • Highlights effective approaches for translating statistical evidence into actionable insights for clinicians.
  • Discusses the importance of addressing key statistical concepts such as p-values, effect estimates, and risk metrics.
  • Recommends prioritizing interdisciplinary discussions on clinical meaningfulness throughout research.
  • Highlights that proper study design and transparent result presentation can enhance clinical applicability.
  • Emphasizes the need for clear understanding of statistical parameters like Minimal Clinically Important Difference, absolute, and relative risks.
  • Concludes with a call to action for interdisciplinary engagement to maximize study impact on patient care.

Cite This Study

Peacock et al. (2026) studied this question.

synapsesocial.com/papers/6a2e4632b1cc60ccdea8b01ahttps://doi.org/10.2147/clep.s601451
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