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Heredity, stress and blood pressure, a family set method--IV : Blood pressure adjustment techniques

dc.contributor.authorSchork, M. Anthonyen_US
dc.contributor.authorSchull, William J.en_US
dc.contributor.authorHarburg, Ernesten_US
dc.contributor.authorRoeper, Peteren_US
dc.contributor.authorChape, Catherineen_US
dc.date.accessioned2006-04-07T17:08:37Z
dc.date.available2006-04-07T17:08:37Z
dc.date.issued1977-10en_US
dc.identifier.citationSchork, M. Anthony, Schull, William J., Harburg, Ernest, Roeper, Peter, Chape, Catherine (1977/10)."Heredity, stress and blood pressure, a family set method--IV : Blood pressure adjustment techniques." Journal of Chronic Diseases 30(10): 671-682. <http://hdl.handle.net/2027.42/22835>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B7GH4-4C11DHC-3P/2/f16b5f0fa0249f3a3600045dc86d76cden_US
dc.identifier.urihttps://hdl.handle.net/2027.42/22835
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=925122&dopt=citationen_US
dc.description.abstractThis fourth article, in a series of five, reports on the statistical adjustments useful in analyzing blood pressure data from family sets. Blood pressure level has been associated with numerous demographic, physiologic, medical history, socioeconomic, temporal and genetic characteristics. To assess the effect of a subset of these characteristics on blood pressure, it is necessary to control for the remaining variables. Statistical methods, including categorization, standardization and regression, are presented as approaches toward adjusting blood pressure readings for sources of variation deemed concomitant. The ultimate, long-range purpose of these procedures is to separate genetic from environmental components of blood pressure.en_US
dc.format.extent930453 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleHeredity, stress and blood pressure, a family set method--IV : Blood pressure adjustment techniquesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, The University of Michigan, Ann Arbor, MI 48103, MI, U.S.A.en_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, The University of Michigan, Ann Arbor, MI 48103, MI, U.S.A.en_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, The University of Michigan, Ann Arbor, MI 48103, MI, U.S.A.en_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, The University of Michigan, Ann Arbor, MI 48103, MI, U.S.A.en_US
dc.contributor.affiliationumDepartment of Biostatistics, School of Public Health, The University of Michigan, Ann Arbor, MI 48103, MI, U.S.A.en_US
dc.identifier.pmid925122en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/22835/1/0000395.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0021-9681(77)90024-8en_US
dc.identifier.sourceJournal of Chronic Diseasesen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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