dc.creatorPericchi Guerra, Luis R.
dc.creatorPérez, María Eglée
dc.date2012-11-21T04:15:00Z
dc.date2012-11-21T04:15:00Z
dc.date2009-06
dc.date.accessioned2017-03-17T16:53:57Z
dc.date.available2017-03-17T16:53:57Z
dc.identifierhttp://hdl.handle.net/10586 /311
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/647452
dc.descriptionTwo clinical trials (past and present), conjugate priors are compared with (Robust) Cauchy- Student-t and what we call Berger's prior. The behavior of the latter Robust Bayesian methods is qualitatively di erent from Conjugate Bayesian Methods and arguably much more reasonable and acceptable to the practitioner and regulatory agencies.
dc.languageen
dc.publisherInternational Workshop on Objective Bayes Methodology (OBayes 09),
dc.subjectclinical trials
dc.subjectrobust bayesian methods
dc.subjectconjugate bayesian methods
dc.subjectstatistical analysis
dc.titleThe case for a fully robust hierarchical Bayesian statistical analysis of clinical trials
dc.typePresentation


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