Bajpai, R ORCID: https://orcid.org/0000-0002-1227-2703 and Chaturvedi, HK (2021) Toward a More Nuanced Interpretation of Statistical Significance in Biomedical Research. Asian Journal of Oncology.

[img]
Preview
Text
s-0041-1727066.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (300kB) | Preview

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.

Item Type: Article
Additional Information: This is the final published version of the article (version of record). It first appeared online via Thieme Medical and Scientific Publishers Pvt. Ltd. at https://doi.org/10.1055/s-0041-1727066 - please refer to any applicable terms of use of the publisher.
Divisions: Faculty of Medicine and Health Sciences > School of Medicine
Depositing User: Symplectic
Date Deposited: 22 Apr 2021 11:14
Last Modified: 22 Apr 2021 11:14
URI: https://eprints.keele.ac.uk/id/eprint/9406

Actions (login required)

View Item View Item