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dc.contributor.authorKault, David
dc.contributor.authorKault, Sam
dc.date.accessioned2017-07-24T03:57:57Z
dc.date.available2017-07-24T03:57:57Z
dc.date.issued2015
dc.identifier.issn1932-6203
dc.identifier.doi10.1371/journal.pone.0142132
dc.identifier.urihttp://hdl.handle.net/10072/99034
dc.description.abstractThe assessment of the effectiveness of a treatment in a clinical trial, depends on calculating p-values. However, p-values are only indirect and partial indicators of a genuine effect. Particularly in situations where publication bias is very likely, assessment using a p-value of 0.05 may not be sufficiently cautious. In other situations it seems reasonable to believe that assessment based on p-values may be unduly conservative. Assessments could be improved by using prior information. This implies using a Bayesian approach to take account of prior probability. However, the use of prior information in the form of expert opinion can allow bias. A method is given here that applies to assessments already included or likely to be included in the Cochrane Collaboration, excluding those reviews concerning new drugs. This method uses prior information and a Bayesian approach, but the prior information comes not from expert opinion but simply from the distribution of effectiveness apparent in a random sample of summary statistics in the Cochrane Collaboration. The method takes certain types of summary statistics and their confidence intervals and with the help of a graph, translates this into probabilities that the treatments being trialled are effective.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherPublic Library of Sciences
dc.relation.ispartofpagefrome0142132-1
dc.relation.ispartofpagetoe0142132-19
dc.relation.ispartofissue11
dc.relation.ispartofjournalPLoS One
dc.relation.ispartofvolume10
dc.subject.fieldofresearchBiostatistics
dc.subject.fieldofresearchcode010402
dc.titleFrom P-values to objective probabilities in assessing medical treatments
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by/4.0/
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 2015 Kault, Kault. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
gro.hasfulltextFull Text
gro.griffith.authorKault, Sam O.


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