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Analysis of Longitudinal Data in Craniofacial Research: Some Strategies
dc.contributor.authorSchneiderman, Emet D.en_US
dc.contributor.authorKowalski, Charles J.en_US
dc.date.accessioned2010-04-13T19:59:41Z
dc.date.available2010-04-13T19:59:41Z
dc.date.issued1994en_US
dc.identifier.citationSchneiderman, Emet; Kowalski, Charles (1994). "Analysis of Longitudinal Data in Craniofacial Research: Some Strategies." Critical Reviews in Oral Biology & Medicine 3(5): 187-202. <http://hdl.handle.net/2027.42/67976>en_US
dc.identifier.issn1045-4411en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/67976
dc.description.abstractAlthough it is generally acknowledged that longitudinal data provide the most information on growth and development and other time-dependent phenomena, such data are often analyzed by conventional (cross-sectional) statistical methods. This widespread practice ignores the distinctive characteristics (e.g., covariance structure) of longitudinal data and may yield misleading results. The purpose of this article is to present some strategies and make available computer programs for the appropriate analysis of longitudinal data. User-friendly PC programs for the estimation of average growth curves, computation of tracking indices, prediction of future values, diagnosis, classification, clustering, estimation of missing values, and testing hypotheses concerning individual and group differences are presented. Benefits of these methods over the usual techniques are illustrated with the example of maxillary growth in the rhesus monkey.en_US
dc.format.extent3108 bytes
dc.format.extent1315138 bytes
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dc.format.mimetypeapplication/pdf
dc.publisherSAGE Publicationsen_US
dc.subject.otherGrowth Curve Analysisen_US
dc.subject.otherBiostatisticsen_US
dc.subject.otherCraniofacial Growth and Developmenten_US
dc.subject.otherPC Programsen_US
dc.subject.otherSerial Dataen_US
dc.subject.otherRandomization Tests.en_US
dc.titleAnalysis of Longitudinal Data in Craniofacial Research: Some Strategiesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelDentistryen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biologic and Materials Sciences, School of Dentistry, University of Michigan, Ann Arbor, MI 48109en_US
dc.contributor.affiliationotherDepartment of Oral and Maxillofacial Surgery, Baylor College of Dentistry, Dallas, TX 75266-0677en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/67976/2/10.1177_10454411940050030101.pdf
dc.identifier.doi10.1177/10454411940050030101en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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