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Article: Modelling variation of lower leg length growth in early life

TitleModelling variation of lower leg length growth in early life
Authors
KeywordsMedical sciences
Abstracting, bibliographies, statistics statistics
Issue Date2001
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/
Citation
Statistics In Medicine, 2001, v. 20 n. 20, p. 3097-3108 How to Cite?
AbstractWe consider the estimation of sources of variation for panel data with repeated measurements. With no repeated measurements and known measurement error, models for variation decomposition have been proposed when there are one or more types of measurements. Estimation was performed using the EM algorithm accompanied by model augmentation that demands more computational efforts. In this article we extend previous variation models and modify the estimation methods in order to estimate various variation components after eliminating the unknown effects of measurement error. Specifically, methods that dispense with model augmentation and estimation of time-dependent covariates are considered. A set of lower leg length data from Chinese infants is analysed by using the proposed model. Interestingly, our results are consistent with the well-accepted three-phase (infancy-childhood-puberty) growth transition proposition for human growth. Moreover, gender effect is found to be time-varying. Copyright © 2001 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/48492
ISSN
2015 Impact Factor: 1.533
2015 SCImago Journal Rankings: 1.811
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFong, DYTen_HK
dc.contributor.authorWong, SWSen_HK
dc.contributor.authorKarlberg, Jen_HK
dc.date.accessioned2008-05-22T04:15:01Z-
dc.date.available2008-05-22T04:15:01Z-
dc.date.issued2001en_HK
dc.identifier.citationStatistics In Medicine, 2001, v. 20 n. 20, p. 3097-3108en_HK
dc.identifier.issn0277-6715en_HK
dc.identifier.urihttp://hdl.handle.net/10722/48492-
dc.description.abstractWe consider the estimation of sources of variation for panel data with repeated measurements. With no repeated measurements and known measurement error, models for variation decomposition have been proposed when there are one or more types of measurements. Estimation was performed using the EM algorithm accompanied by model augmentation that demands more computational efforts. In this article we extend previous variation models and modify the estimation methods in order to estimate various variation components after eliminating the unknown effects of measurement error. Specifically, methods that dispense with model augmentation and estimation of time-dependent covariates are considered. A set of lower leg length data from Chinese infants is analysed by using the proposed model. Interestingly, our results are consistent with the well-accepted three-phase (infancy-childhood-puberty) growth transition proposition for human growth. Moreover, gender effect is found to be time-varying. Copyright © 2001 John Wiley & Sons, Ltd.en_HK
dc.format.extent240701 bytes-
dc.format.extent215190 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/pdf-
dc.languageengen_HK
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/en_HK
dc.relation.ispartofStatistics in Medicineen_HK
dc.rightsStatistics in Medicine. Copyright © John Wiley & Sons Ltd.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsThis is a preprint of an article published in Statistics in Medicine, 2001, v. 20 n. 20, p. 3097-3108en_HK
dc.subjectMedical sciencesen_HK
dc.subjectAbstracting, bibliographies, statistics statisticsen_HK
dc.titleModelling variation of lower leg length growth in early lifeen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-6715&volume=20&issue=20&spage=3097&epage=3108&date=2001&atitle=Modelling+variation+of+lower+leg+length+growth+in+early+lifeen_HK
dc.identifier.emailFong, DYT: dytfong@hku.hken_HK
dc.identifier.emailKarlberg, J: jpekarl@hkucc.hku.hken_HK
dc.identifier.authorityFong, DYT=rp00253en_HK
dc.identifier.authorityKarlberg, J=rp00400en_HK
dc.description.naturepostprinten_HK
dc.identifier.doi10.1002/sim.921en_HK
dc.identifier.pmid11590635-
dc.identifier.scopuseid_2-s2.0-0035975992en_HK
dc.identifier.hkuros65468-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035975992&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume20en_HK
dc.identifier.issue20en_HK
dc.identifier.spage3097en_HK
dc.identifier.epage3108en_HK
dc.identifier.isiWOS:000171563800008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridFong, DYT=35261710300en_HK
dc.identifier.scopusauthoridWong, SWS=7404590811en_HK
dc.identifier.scopusauthoridKarlberg, J=7005218406en_HK

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