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01-01-2021 | Brief Communication

Lies, Damn Lies, and Bad Statistics?

Authors: Italo Braghetto, Manuel Figueroa

Published in: Obesity Surgery | Issue 1/2021

Abstract

A wide spectrum of research such as experimental, randomized trials, cohort or epidemiological studies, technical or control case reports, systematic reviews, and meta-analyses has resulted in a huge amount of publications. These studies and publications may be subject to errors due to poor application of statistical tests, which can lead to misinformation, misinterpretation, and erroneous conclusions, sometimes even considered as lies. In this article, some ideas about this issue are discussed in order to adopt new directions in the future and thus avoid lies and bad statistics.

Mellis C. Lies, damned lies and statistics: clinical importance versus statistical significance in research. Paediatr Respir Rev. 2018;25:88–93.PubMed

Van Calster B, Steyerberg EW, Collins GS, Smits T. Consequences of relying on statistical significance: Some illustrations. Eur J Clin Invest. 2018;48(5):e12912. https://doi.org/10.1111/eci.12912.

Van Calster B, Verbakel JY, Christodoulou E, et al. Statistics versus machine learning: definitions are interesting (but understanding, methodology, and reporting are more important). J Clin Epidemiol. 2019; https://doi.org/10.1016/j.jclinepi.2019.08.002.

Greenland S. Statistical tests, p values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 2016;31:337–50.CrossRef

Nuzzo R. P-values, the “gold standard” of statistical validity, are not as reliable as many scientists assume. Nature. 2014;506:150–2.CrossRef

van Rijn MHC, Bech A, Bouyer J, et al. Statistical significance versus clinical relevance. Nephrol Dial Transplant. 2017;32(suppl_2):ii6–ii12.PubMed

Ioannidis JP. Contradicted and initially stronger effects in highly cited clinical research. JAMA. 2005;294:218–28.CrossRef

Sim J, Reid N. Statistical inference by confidence intervals: issues of interpretation and utilization. Phys Ther. 1999;79:186–95.CrossRef

Title: Lies, Damn Lies, and Bad Statistics?
Authors: Italo Braghetto
Manuel Figueroa
Publication date: 01-01-2021
Publisher: Springer US
Published in: Obesity Surgery / Issue 1/2021
Print ISSN: 0960-8923
Electronic ISSN: 1708-0428
DOI: https://doi.org/10.1007/s11695-020-04470-y

ACC 2024 Congress

Springer Medicine

Lies, Damn Lies, and Bad Statistics?

Abstract

ACC 2024 Congress

Springer Medicine

Abstract

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