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PC program for assessing the relationship between rate of change and initial value
dc.contributor.authorKowalski, Charles J.en_US
dc.contributor.authorSchneiderman, Emet D.en_US
dc.contributor.authorWillis, Stephen M.en_US
dc.date.accessioned2006-04-10T17:47:29Z
dc.date.available2006-04-10T17:47:29Z
dc.date.issued1994-11en_US
dc.identifier.citationKowalski, Charles J., Schneiderman, Emet D., Willis, Stephen M. (1994/11)."PC program for assessing the relationship between rate of change and initial value." Computers in Biology and Medicine 24(6): 485-492. <http://hdl.handle.net/2027.42/31222>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6T5N-4C118FH-M/2/bca9fc168cbbbd6625b27ee39176ae59en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31222
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7789133&dopt=citationen_US
dc.description.abstractA menu-driven PC program implementing Blomqvist's [J. Am. Stat. Assn. 72, 746-749, 1977] method for assessing the relationship between rate of change and initial value is described, illustrated and made available. It is shown that the naive approach to this problem--computing the correlation between the initial value and either the amount or rate of change--results in a negatively biased estimator. The extent of this bias can be dramatic and may lead investigators to conclude that a negative correlation is present when none exists; or that there is no correlation when in fact the correlation is positive. Blomqvist's (maximum likelihood) estimator avoids this bias, and is obtained by a transformation of the naive estimator.en_US
dc.format.extent696498 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titlePC program for assessing the relationship between rate of change and initial valueen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumCenter for Statistical Consultation and Research (CJK), The University of Michigan, Ann Arbor, MI 48109, U.S.A.; Department of Oral and Maxillofacial Surgery and Pharmacology (EDS and SMW), Baylor College of Dentistry, Dallas, TX 75266-0677, U.S.A.; Department of Biologic and Materials Sciences, Dental School, The University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationumCenter for Statistical Consultation and Research (CJK), The University of Michigan, Ann Arbor, MI 48109, U.S.A.; Department of Oral and Maxillofacial Surgery and Pharmacology (EDS and SMW), Baylor College of Dentistry, Dallas, TX 75266-0677, U.S.A.; Department of Biologic and Materials Sciences, Dental School, The University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationumCenter for Statistical Consultation and Research (CJK), The University of Michigan, Ann Arbor, MI 48109, U.S.A.; Department of Oral and Maxillofacial Surgery and Pharmacology (EDS and SMW), Baylor College of Dentistry, Dallas, TX 75266-0677, U.S.A.; Department of Biologic and Materials Sciences, Dental School, The University of Michigan, Ann Arbor, MI 48109, U.S.A.en_US
dc.identifier.pmid7789133en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31222/1/0000124.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0010-4825(94)90046-9en_US
dc.identifier.sourceComputers in Biology and Medicineen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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