Interpretation of and alternatives to p-values in biomedical sciences
Grjibovski A.M. Gvozdeckii A.N.
2022Northern State Medical University
Ekologiya Cheloveka (Human Ecology)
2022#29Issue 367 - 76 pp.
Existing difficulties in interpretation of the results of statistical analysis have been repeatedly mentioned as one of the factors behind poor reproducibility of research findings in biomedical sciences followed by a series of publications presenting alternatives to improve the situation including a abandonment of p-values and significance testing. In this paper we briefly present the scope of the problem as well as Fischer and Neyman–Pearson approaches to hypothesis testing. Moreover, we present confidence intervals and effect size calculation as alternatives to dichotomization of the results as significant or not significant using a certain cut-off level. In addition, we summarize the pros and cons of suggestion to change the cut-off value from traditional 0.05 to 0.005. We also present a list of the most common misunderstandings of p-values discussed in international statistical literature. We conclude the paper with brief recommendations on careful interpretation of the results of statistical analysis to prevent misinterpretation and misuse of p-values in biomedical studies.
biomedical research , confidence interval , effect size , p-value , significance level , statistical analysis
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Northern state medical university, Arkhangelsk, Russian Federation
Al-Farabi Kazakh national university, Almaty, Kazakhstan
West Kazakhstan Marat Ospanov medical university, Aktobe, Kazakhstan
North-Eastern federal university, Yakutsk, Russian Federation
Mechnikov North-Western state medical university, St. Petersburg, Russian Federation
Northern state medical university
Al-Farabi Kazakh national university
West Kazakhstan Marat Ospanov medical university
North-Eastern federal university
Mechnikov North-Western state medical university
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