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dc.contributor.authorQuintela-del-Río, Alejandro
dc.contributor.authorRodríguez-Romero, Beatriz
dc.contributor.authorRobles-García, Verónica
dc.contributor.authorArias, Pablo
dc.contributor.authorCudeiro, Javier
dc.contributor.authorMartínez-Rodríguez, Alicia
dc.date.accessioned2019-07-03T11:51:34Z
dc.date.issued2019-06
dc.identifier.citationQuintela-Del-Río A, Rodríguez-Romero B, Robles-García V, Arias-Rodríguez P, Cudeiro-Mazaira J, Martínez-Rodríguez A. Bayesian Methods in the Field of Rehabilitation. Am J Phys Med Rehabil. 2019 Jun;98(6):516-520.es_ES
dc.identifier.issn0894-9115
dc.identifier.urihttp://hdl.handle.net/2183/23388
dc.descriptionBrief reportes_ES
dc.description.abstract[Abstract] Bayesian techniques, as an alternative method of statistical analysis in rehabilitation studies, have some advantages such as handling small sample sizes, allowing incorporation of previous experience of the researchers or clinicians, being suitable for different kinds of studies, and managing highly complex models. These characteristics are important in rehabilitation research. In the present article, the Bayesian approach is displayed through three examples in previously analyzed data with traditional or frequentist methods. The studies used as examples have small sample sizes and show that the Bayesian procedures enhance the statistical information of the results. The Bayesian credibility interval includes the true value of the corresponding parameter diminishing uncertainty about the treatment effect. In addition, the Bayes factor value quantifies the evidence provided by the data in favor of the alternative hypothesis as opposed to the null hypothesis. Bayesian inference could be an interesting and adaptable alternative statistical method for physical medicine and rehabilitation applications.es_ES
dc.language.isoenges_ES
dc.publisherWolters Kluweres_ES
dc.relation.urihttps://doi.org/10.1097/PHM.0000000000001124es_ES
dc.rightsThis is a non-final version of an article published in final form in American Journal of Physical Medicine and Rehabilitationes_ES
dc.subjectBayes theoremes_ES
dc.subjectRehabilitationes_ES
dc.subjectSample sizees_ES
dc.subjectStatisticses_ES
dc.titleBayesian methods in the field of rehabilitationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/embargoedAccesses_ES
dc.date.embargoEndDate2020-06-01es_ES
dc.date.embargoLift2020-06-01
UDC.journalTitleAmerican Journal of Physical Medicine & Rehabilitationes_ES
UDC.volume98es_ES
UDC.issue6es_ES
UDC.startPage516es_ES
UDC.endPage520es_ES


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