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This work examines when and how to adjust for multiple statistical tests in exercise physiology, arguing against blanket corrections.

June 14, 2026Frontiers in PhysiologyOpen Access

To adjust or not to adjust? Matching statistical choices to scientific questions in exercise physiology and sport science

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Analyzes the appropriateness of statistical adjustments in exercise physiology, highlighting implications for rigor in research.

This work examines when and how to adjust for multiple statistical tests in exercise physiology, arguing against blanket corrections.
Proposes a framework linking inferential aims to statistical procedures across global detection, directed hypotheses, and exploratory localization.
Discusses the applicability of omnibus tests and post hoc comparisons based on specific inferential questions.
Emphasizes the importance of considering the latent structure of data rather than solely relying on count-based adjustments.
Contends that routine multiplicity corrections can obscure meaningful results and may not be necessary for all analyses.
Suggests error control strategies like false discovery rate for broader contrasts needing multiple inference.
Advocates for a new context-dependent approach to statistical practices in exercise physiology.

Schappacher-Tilp et al. (2026) studied this question.

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