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PC program extending the two-stage polynomial growth curve model to allow missing data
dc.contributor.authorFurey, Amy M.en_US
dc.contributor.authorTen Have, Thomas R.en_US
dc.contributor.authorKowalski, Charles J.en_US
dc.contributor.authorSchneiderman, Emet D.en_US
dc.contributor.authorWillis, Stephen M.en_US
dc.date.accessioned2006-04-10T15:31:37Z
dc.date.available2006-04-10T15:31:37Z
dc.date.issued1993-11en_US
dc.identifier.citationFurey, Amy M., Ten Have, Thomas R., Kowalski, Charles J., Schneiderman, Emet D., Willis, Stephen M. (1993/11)."PC program extending the two-stage polynomial growth curve model to allow missing data." International Journal of Bio-Medical Computing 33(3-4): 287-296. <http://hdl.handle.net/2027.42/30475>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B7GH2-4C4FR83-HR/2/42ea161535dc7e065ecb2242e2fc69c8en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/30475
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=8307659&dopt=citationen_US
dc.description.abstractA stand-alone, menu-driven PC program, written in GAUSS386i, extending the analysis of one-sample longitudinal data sets satisfying the two-stage polynomial growth curve model (Ten Have et al., Am J Hum Biol, 3 (1991) 269-279) to allow missing data is described, illustrated and made available to interested readers. The method and the program are illustrated using data previously analyzed by the authors (Schneiderman and Kowalski, Am J Phys Anthropol, 67 (1985) 323-333) but with several randomly chosen data points discarded and treated as missing.en_US
dc.format.extent611594 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titlePC program extending the two-stage polynomial growth curve model to allow missing dataen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelWest European Studiesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, The University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumDepartment of Biostatistics, The University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationumDepartment of Oral Biology, The University of Michigan, Ann Arbor, MI 48109, USAen_US
dc.contributor.affiliationotherDepartment of Oral and Maxillofacial Surgery, Baylor College of Dentistry, 3302 Gaston Ave., Dallas, TX 75246, USAen_US
dc.contributor.affiliationotherDepartment of Oral and Maxillofacial Surgery, Baylor College of Dentistry, 3302 Gaston Ave., Dallas, TX 75246, USAen_US
dc.identifier.pmid8307659en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/30475/1/0000103.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0020-7101(93)90042-5en_US
dc.identifier.sourceInternational Journal of Bio-Medical Computingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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