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Toward a More Nuanced Interpretation of Statistical Significance in Biomedical Research

Bajpai, Ram

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Abstract

Editorial
Statistical significance is the bedrock of evidence-based medicine, crucial for decision-making and framing biomedical science policies. The emergence of complex data in many disciplines, resulting from the analysis of large datasets, has amplified the popularity of p-values. Its simplicity allows investigators to conclude and disseminate their research findings in a manner understood by most. Thus, obtaining a p-value that indicates “statistical significance” against the null hypothesis is often required for publishing in medical journals. However, it creates challenges due to nonreproducibility, misuse and overinterpretation, which lead to serious methodological errors. This article aims to draw biomedical researchers' attention toward the appropriate use of p-values in clinical decision-making.

Journal Article Type Article
Acceptance Date Mar 31, 2021
Online Publication Date Apr 29, 2021
Publication Date Mar 31, 2021
Journal Asian Journal of Oncology
Print ISSN 2454-6798
Publisher Thieme Gruppe
Volume 07
Pages 049-051
DOI https://doi.org/10.1055/s-0041-1727066
Keywords Artificial Intelligence, Control and Optimization, Mechanical Engineering, General Engineering, Computer Science Applications, General Mathematics, Software, Control and Systems Engineering, Industrial and Manufacturing Engineering, Computer Science Appli
Publisher URL https://doi.org/10.1055/s-0041-1727066

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