The Role of Randomization in Bayesian and Frequentist Design of Clinical Trial.
A key role in inference is played by randomization, which has been extensively used in clinical trials designs. Randomization is primarily intended to prevent the source of bias in treatment allocation by producing comparable groups. In the frequentist framework of inference, randomization allows al...
| Publicado en: | Topoi: An International Review of Philosophy Vol. 38; no. 2; pp. 469 - 476 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Jun2019
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=136648685&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 136648685 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01677411 NM2 jtl: Topoi: An International Review of Philosophy issn: 01677411 maglogo: N pubinfo: dt: Jun2019 vid: 38 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 136648685 10.1007/s11245-018-9542-8 ppf: 469 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P size: 770KB tig: atl: The Role of Randomization in Bayesian and Frequentist Design of Clinical Trial. aug: au: Berchialla, Paola Gregori, Dario Baldi, Ileana affil: Department of Clinical and Biological Sciences, University of Torino, Via Santena 5bis, 10126, Turin, Italy Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, Via Loredan 18, 35131, Padua, Italy su: Clinical trials Bayesian analysis Probability theory Comparative studies Randomization (Statistics) sug: subj: Clinical trials Bayesian analysis Probability theory Comparative studies Randomization (Statistics) keyword: Bayesian inference Frequentist inference Randomization ab: A key role in inference is played by randomization, which has been extensively used in clinical trials designs. Randomization is primarily intended to prevent the source of bias in treatment allocation by producing comparable groups. In the frequentist framework of inference, randomization allows also for the use of probability theory to express the likelihood of chance as a source for the difference of end outcome. In the Bayesian framework, its role is more nuanced. The Bayesian analysis of clinical trials can afford a valid rationale for selective controls, pointing out a more limited role for randomization than it is generally accorded. This paper is aimed to offer a view of randomization from the perspective of both frequentist and Bayesian statistics and discussing the role of randomization also in theoretical decision models. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Topoi: An International Review of Philosophy is a copyright of Springer, 2019. All Rights Reserved. item: Topoi: An International Review of Philosophy holder: Springer Nature dt: @attributes: year: 2019 holdings: @attributes: islocal: N |
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