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Statistical evidence and the reliability of medical research

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dc.contributor.authorAndreoletti, Mattia
dc.contributor.authorTeira Serrano, David
dc.date.accessioned2024-05-20T18:49:29Z
dc.date.available2024-05-20T18:49:29Z
dc.date.issued2016-01-01
dc.description.abstractStatistical evidence is pervasive in medicine. In this chapter we will focus on the reliability of randomized clinical trials (RCTs) conducted to test the safety and efficacy of medical treatments. RCTs are scientific experiments and, as such, we expect them to be replicable: if we repeat the same experiment time and again, we should obtain the same outcome (Norton 2015). The statistical design of the test should guarantee that the observed outcome is not a random event, but rather a real effect of the treatments administered. However, for more than a decade now we have been discussing a replicability crisis across different experimental disciplines including medicine: the outcomes of trials published in very prestigious journals often disappear when the experiment is repeated –see for instance Lehrer 2010, Begley and Ellis 2012, Horton 2015).en
dc.description.versionversión final
dc.identifier.urihttps://hdl.handle.net/20.500.14468/15625
dc.language.isoen
dc.publisher['M. Solomon', 'H. Kincaid', 'J. Simon']
dc.relation.centerFacultad de Filosofía
dc.relation.departmentLógica, Historia y Filosofía de la Ciencia
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordsStatistical evidence
dc.subject.keywordsRCTs
dc.subject.keywordsreplicability
dc.subject.keywordsreliability
dc.subject.keywordsfalse findings
dc.titleStatistical evidence and the reliability of medical researches
dc.typebook parten
dc.typecapítulo de libroes
dspace.entity.typePublication
relation.isAuthorOfPublicationad2bda75-c33c-48e1-aad8-c7eb3cfc04cb
relation.isAuthorOfPublication.latestForDiscoveryad2bda75-c33c-48e1-aad8-c7eb3cfc04cb
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