Please use this identifier to cite or link to this item: http://hdl.handle.net/11054/1821
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dc.contributorHurley, James C.en_US
dc.date.accessioned2021-11-30T22:32:44Z-
dc.date.available2021-11-30T22:32:44Z-
dc.date.issued2021-
dc.identifier.govdoc01795en_US
dc.identifier.urihttp://hdl.handle.net/11054/1821-
dc.description.abstractTo the Editor: The explanation of inference from confidence intervals by Hemming and Taljaard is interesting but unfortunately incorrect. The authors may have fallen for the confidence interval variation of the P value fallacy — the mistaken idea that the P value (or confidence interval) can capture both the long term outcomes of an experiment, as commonly reflected in the phrase “a trend to significance (P = 0.06)”, and the evidential meaning of a single result...en_US
dc.description.provenanceSubmitted by Gemma Siemensma (gemmas@bhs.org.au) on 2021-11-23T00:24:54Z No. of bitstreams: 0en
dc.description.provenanceApproved for entry into archive by Gemma Siemensma (gemmas@bhs.org.au) on 2021-11-30T22:32:44Z (GMT) No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2021-11-30T22:32:44Z (GMT). No. of bitstreams: 0 Previous issue date: 2021en
dc.titleWhy proper understanding of confidence intervals and statistical significance is important.en_US
dc.typeJournal Articleen_US
dc.type.specifiedLetteren_US
dc.bibliographicCitation.titleMedical Journal of Australiaen_US
dc.bibliographicCitation.volume215en_US
dc.bibliographicCitation.issue4en_US
dc.bibliographicCitation.stpage190en_US
dc.bibliographicCitation.endpage190.e1en_US
dc.subject.healththesaurusPROBABILITYen_US
dc.subject.healththesaurusSTATISTICSen_US
dc.identifier.doihttps://doi.org/10.5694/mja2.51194en_US
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