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What p-value must be used as the Statistical Significance Threshold? P

Author

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  • Bruno Mario Cesana

    (Former: Department of Molecular and Transactional Medicine, Statistics and Biomathematics Unit, Faculty of Medicine and Surgery, University of Brescia, Brescia, Italy; Contract Professor: Department of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics “Giulio A. Maccacaro†, Faculty of Medicine and Surgery, University of Milan, Milan, Italy)

Abstract

Statistical significance is a tool for making decisions on a probabilistic basis extensively used in the scientific world. It must be recognized that the 0.05 value as the threshold of the statistical significance is undoubtedly arbitrary and nothing prevents it from being modified according to well-founded arguments. Furthermore, it must also be recognized that the logic of the statistical significance test is quite debatable, as well as being little understood by researchers who are the main users. Also the meaning of p-values is often ignored with consequent misinterpretations and misunderstandings. I will give a general overview and some insights on the topics of the p-values and of the statistical significance.

Suggested Citation

  • Bruno Mario Cesana, 2018. "What p-value must be used as the Statistical Significance Threshold? P," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 6(3), pages 001-009, July.
    • Handle: RePEc:abf:journl:v:6:y:2018:i:3:p:001-009
    DOI: 10.26717/BJSTR.2018.06.001359
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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