Principles for designing randomized preventive trials in mental health: an emerging developmental epidemiology paradigm.
An emerging population-based paradigm is now being used to guide the design of preventive trials used to test developmental models. We discuss elements of the designs of several ongoing randomized preventive trials involving reduction of risk for children of divorce, for children who exhibit behavi...
| Publicado en: | American Journal of Community Psychology Vol. 27; no. 5; pp. 673 - 711 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Science & Business Media B.V.
October 1999
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| 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=511133102&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511133102 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00910562 CMP jtl: American Journal of Community Psychology issn: 00910562 maglogo: N pubinfo: dt: October 1999 vid: 27 iid: 5 pid: 237 pub: Springer Science & Business Media B.V. artinfo: ui: 511133102 ppf: 673 ppct: 38 formats: fmt: @attributes: type: P size: 2.3MB tig: atl: Principles for designing randomized preventive trials in mental health: an emerging developmental epidemiology paradigm. aug: au: Brown, C. Hendricks Liao, Jason su: Mental illness prevention Experimental design sug: subj: Mental illness prevention Experimental design ab: An emerging population-based paradigm is now being used to guide the design of preventive trials used to test developmental models. We discuss elements of the designs of several ongoing randomized preventive trials involving reduction of risk for children of divorce, for children who exhibit behavioral or learning problems, and for children whose parents are being treated for depression. To test developmental models using this paradigm, we introduce three classes of design issues: design for prerandomization, design for intervention, and design for postintervention. For each of these areas, we present quantitative results from power calculations. Both scientific and cost implications of these power calculations are discussed in terms of variation among subjects on preintervention measures, unit of intervention, assignment, balancing, number of pretest and posttest measures, and the examination of moderation effects. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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