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Distribución del valor p para la prueba t en estudios de no-inferioridad con muestras paralelas

dc.creatorMonterrey P.A.spa
dc.date.accessioned2020-05-25T23:55:44Z
dc.date.available2020-05-25T23:55:44Z
dc.date.created2017spa
dc.description.abstractIn randomized controlled clinical trials, treatment efficacy is considered as its capability to produce beneficial effects. Efficacy of an experimental treatment is usually established comparing its effectiveness respect to a placebo or comparing with the effect of an active control treatment. The first stage to determine effectiveness of a new treatment is placebo-controlled trial, and, as a second stage, a superiority trial will compare new treatment with a treatment uniformly accepted as a standard one. Sometimes the use of a placebo control is considered unethical; in such a case, a non-inferiority trial may be appropriate. In non-inferiority the new treatment dont need to be superior to a control, it is enough that it doesn't be unacceptably worse and additionally to be better than placebo. This assert rules the construction of non-inferiority hypothesis, which is based in a non-inferiority margin; in its determination is necessary to consider both statistical reasoning and clinical judgement. The possibility to claim incorrectly non-inferiority is one of the methodological flaws in non-inferiority studies and is related with the determination of non-inferiority margin. Two samples t-test is the statistical criteria to analyze non-inferiority hypothesis when mean value is the parameter to measure treatments efficacy. The objective of present report was to obtain and to characterize the p-value probability distribution for t-test in non-inferiority designs and to establish the relationship between this distribution and test's power function, as a result a characterization of the effect of sample size and non-inferiority margin over test sensibility was obtained, in addition an application of p-value distribution to meta-analysis was done introducing a criteria to analyze the effect of a particular study in results integration.eng
dc.format.mimetypeapplication/pdf
dc.identifier.issn2574306
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22192
dc.language.isoengspa
dc.publisherUniversidad de La Habanaspa
dc.relation.citationEndPage265
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage259
dc.relation.citationTitleInvestigacion Operacional
dc.relation.citationVolumeVol. 38
dc.relation.ispartofInvestigacion Operacional, ISSN:2574306, Vol.38, No.3 (2017); pp. 259-265spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85019629932&partnerID=40&md5=d6bfac17a0337f1b58c0ba70aa5f2466spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordMeta-analysysspa
dc.subject.keywordNon-inferiorityspa
dc.subject.keywordNon-inferiority marginspa
dc.subject.keywordP-values distributionspa
dc.subject.keywordT-testspa
dc.subject.keywordTest powerspa
dc.titleDistribución del valor p para la prueba t en estudios de no-inferioridad con muestras paralelasspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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