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Article: Increase in power through multivariate analyses

TitleIncrease in power through multivariate analyses
Authors
KeywordsMultivariate analyses
Power simulations
Statistical power
Issue Date1998
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244
Citation
Behavior Genetics, 1998, v. 28 n. 5, p. 357-363 How to Cite?
AbstractPower to detect genetic and environmental influences increases not only with sample size but also with the number of measurements through longitudinal and/or multivariate designs, if those measurements correlate with each other. Power simulations are presented for uni- through quadrivariate cases, with differing genetic and environmental parameters. Even though subject attrition is a problem for most longitudinal studies, the gain in power available may more than make up for this shortcoming in many situations. In terms of planning studies to examine genetic and environmental influences, power calculations should not only consider sample size but number of measurements on particular phenotypes and their intercorrelations.
Persistent Identifierhttp://hdl.handle.net/10722/143690
ISSN
2015 Impact Factor: 3.268
2015 SCImago Journal Rankings: 1.457
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorSchmitz, Sen_HK
dc.contributor.authorCherny, SSen_HK
dc.contributor.authorFulker, DWen_HK
dc.date.accessioned2011-12-16T08:09:31Z-
dc.date.available2011-12-16T08:09:31Z-
dc.date.issued1998en_HK
dc.identifier.citationBehavior Genetics, 1998, v. 28 n. 5, p. 357-363en_HK
dc.identifier.issn0001-8244en_HK
dc.identifier.urihttp://hdl.handle.net/10722/143690-
dc.description.abstractPower to detect genetic and environmental influences increases not only with sample size but also with the number of measurements through longitudinal and/or multivariate designs, if those measurements correlate with each other. Power simulations are presented for uni- through quadrivariate cases, with differing genetic and environmental parameters. Even though subject attrition is a problem for most longitudinal studies, the gain in power available may more than make up for this shortcoming in many situations. In terms of planning studies to examine genetic and environmental influences, power calculations should not only consider sample size but number of measurements on particular phenotypes and their intercorrelations.en_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0001-8244en_HK
dc.relation.ispartofBehavior Geneticsen_HK
dc.subjectMultivariate analysesen_HK
dc.subjectPower simulationsen_HK
dc.subjectStatistical poweren_HK
dc.titleIncrease in power through multivariate analysesen_HK
dc.typeArticleen_HK
dc.identifier.emailCherny, SS: cherny@hku.hken_HK
dc.identifier.authorityCherny, SS=rp00232en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1023/A:1021669602220en_HK
dc.identifier.pmid9926617-
dc.identifier.scopuseid_2-s2.0-0032411944en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032411944&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume28en_HK
dc.identifier.issue5en_HK
dc.identifier.spage357en_HK
dc.identifier.epage363en_HK
dc.identifier.isiWOS:000078081400003-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridSchmitz, S=7102245368en_HK
dc.identifier.scopusauthoridCherny, SS=7004670001en_HK
dc.identifier.scopusauthoridFulker, DW=7005792286en_HK

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