The role of sampling in clinical trial design.
A treatment's recovery rate depends upon the percentage of clients who received the treatment and recovered. This rate is not logically interpretable as the personal probability of recovery of any individual client assigned to this treatment unless the rate is 0% or 100%. So clinical trials need to...
| Publicado en: | Psychotherapy Research Vol. 21; no. 3; pp. 243 - 252 |
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| Autores principales: | , , |
| Formato: | Artículo |
| Publicado: |
Taylor & Francis Ltd
May2011
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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=ssf&AN=60900067&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 60900067 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10503307 10T jtl: Psychotherapy Research issn: 10503307 maglogo: N pubinfo: dt: May2011 vid: 21 iid: 3 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 60900067 10.1080/10503307.2010.549520 ppf: 243 ppct: 9 formats: tig: atl: The role of sampling in clinical trial design. aug: au: Krause, Merton Lutz, Wolfgang Boehnke, JanR. affil: Clinical Psychology and Psychotherapy, Department of Psychology, University of Trier, Trier, Germany su: Clinical trials Medical experimentation on humans Aptitude-treatment interaction (Education) Sampling (Process) Probability theory sug: subj: Clinical trials Medical experimentation on humans Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology) Aptitude-treatment interaction (Education) Sampling (Process) Probability theory keyword: aptitude-treatment interaction research client sampling client-covariate sampling outcome research statistical methodology aptitude-treatment interaction research client sampling client-covariate sampling outcome research statistical methodology ab: A treatment's recovery rate depends upon the percentage of clients who received the treatment and recovered. This rate is not logically interpretable as the personal probability of recovery of any individual client assigned to this treatment unless the rate is 0% or 100%. So clinical trials need to be designed to help us learn how to distinguish before treatment the sorts of clients who recover in response to each available form of treatment from those who do not. This requires our developing sufficiently comprehensive sampling of clients and client covariates as part of the design of clinical trials, which would be more likely and efficiently achieved were there centralized programmatic planning and coordination of the development of these aspects of clinical trial design. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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