Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10771
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dc.contributor.authorGalecki, A.T.-
dc.contributor.authorChen, S.-
dc.contributor.authorFaulkner, J.A.-
dc.contributor.authorAshton-Miller, J.-
dc.contributor.authorBURZYKOWSKI, Tomasz-
dc.date.accessioned2010-03-24T09:41:12Z-
dc.date.availableNO_RESTRICTION-
dc.date.issued2009-
dc.identifier.citationInternational Journal of Knowledge Engineering and Soft Data Paradigms, 1(1). p. 40-48-
dc.identifier.issn1755-3210-
dc.identifier.urihttp://hdl.handle.net/1942/10771-
dc.description.abstractTo calculate the sample size for a research study, it is important to take into account several aspects of the study design. In particular, one needs to take into account the hypotheses being tested, the study design, the sampling design, and the method to be used for the analysis. In this paper, we propose a simple method to calculate sample size for clustered continuous data under various scenarios of study design.-
dc.language.isoen-
dc.publisherInderscience-
dc.subject.otherCOMPUTING JOURNALS; Computing Science, Applications and Software; TECHNICAL JOURNALS; Electronic Systems, Control and Artificial Intelligence-
dc.titleStatistical power calculations for clustered continuous data-
dc.typeJournal Contribution-
dc.identifier.epage48-
dc.identifier.issue1-
dc.identifier.spage40-
dc.identifier.volume1-
local.bibliographicCitation.jcatA2-
dc.description.notes300 NIB, Division of Geriatric Medicine, Department of Internal Medicine, and Institute of Gerontology, University of Michigan Medical School, Ann Arbor, MI 48109-2007, USA. 2: I-BioStat, Hasselt University; Catholic University of Leuven, Agoralaan 1, B3590 Diepenbeek, Belgium Diepenbeek, Belgium-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA2-
dc.identifier.doi10.1504/IJKESDP.2009.021983-
item.contributorGalecki, A.T.-
item.contributorChen, S.-
item.contributorFaulkner, J.A.-
item.contributorAshton-Miller, J.-
item.contributorBURZYKOWSKI, Tomasz-
item.accessRightsClosed Access-
item.fullcitationGalecki, A.T.; Chen, S.; Faulkner, J.A.; Ashton-Miller, J. & BURZYKOWSKI, Tomasz (2009) Statistical power calculations for clustered continuous data. In: International Journal of Knowledge Engineering and Soft Data Paradigms, 1(1). p. 40-48.-
item.fulltextNo Fulltext-
crisitem.journal.issn1755-3210-
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