PMID: 11921006Mar 29, 2002Paper

Teaching hypothesis tests--time for significant change?

Statistics in Medicine
Jonathan A C Sterne

Abstract

Confusion in the teaching of statistical inference dates back to the conflict of Fisher's P-values and significance tests with the Neyman-Pearson hypothesis testing approach. To avoid the well-known pitfalls arising from over-reliance on significance tests and the division of results into 'significant' or 'not significant', many medical journals now insist that presentation of statistical analyses includes confidence intervals as well as or instead of P-values. The confusion over how to report statistical analyses which is evident in the recent medical literature is matched by divergent teaching of hypothesis tests between the 16 U.K. medical schools represented at the April 2000 Burwalls meeting. Suggested guidelines for the teaching of statistical inference to medical students are presented, and possible future developments are discussed.

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Citations

Nov 6, 2010·BMC Medical Education·Susan MilesSam J Leinster
Feb 7, 2016·Environmental Monitoring and Assessment·R Christopher Spicer, Harry J Gangloff
Aug 5, 2008·Archives of Oral Biology·Edward F Harris, Richard N Smith
Oct 16, 2003·International Journal of Epidemiology·Jonathan Sterne
May 21, 2010·Phlebology·C J Smith, Z V Fox
Apr 18, 2012·Periodontology 2000·Yu-Kang Tu, Mark S Gilthorpe
May 14, 2020·Journal of the Air & Waste Management Association·R Christopher Spicer
Mar 8, 2017·BMC Medical Research Methodology·Jørn WetterslevChristian Gluud

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