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Article: Bivariate Poisson-Poisson model of zero-inflated absenteeism data

TitleBivariate Poisson-Poisson model of zero-inflated absenteeism data
Authors
KeywordsAbsenteeism
Child health
Compound distribution
Growth
Poisson
Issue Date2006
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/
Citation
Statistics In Medicine, 2006, v. 25 n. 21, p. 3707-3717 How to Cite?
AbstractBimodal distributions of counts with one mode at zero are often seen in medical research. In a health survey parents were asked the number of days their children missed their activities (Y1) and the number of days their children spent in bed (Y2) due to illness in the past four weeks. Both variables exhibited zero inflation. We consider a bivariate Poisson-Poisson regression model, in which the two variables are regarded as indicators of an unobserved health status variable. Based on this, we further develop a bivariate Poisson-Poisson model that constrains Y1 ≥ Y2. It is often claimed that there is a critical window of growth and nutrition in foetal life and infancy during which subsequent health status is affected. It is not clear whether the claim is true and whether childhood growth matters more. We analyse the bivariate data in relation to weight-for-age in infancy and weight gain from infancy to age 7 years. The findings do not support the existence of a critical window in infancy. There is some indication that childhood weight gain might affect health status. Copyright © 2005 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/82947
ISSN
2015 Impact Factor: 1.533
2015 SCImago Journal Rankings: 1.811
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCheung, YBen_HK
dc.contributor.authorLam, KFen_HK
dc.date.accessioned2010-09-06T08:35:12Z-
dc.date.available2010-09-06T08:35:12Z-
dc.date.issued2006en_HK
dc.identifier.citationStatistics In Medicine, 2006, v. 25 n. 21, p. 3707-3717en_HK
dc.identifier.issn0277-6715en_HK
dc.identifier.urihttp://hdl.handle.net/10722/82947-
dc.description.abstractBimodal distributions of counts with one mode at zero are often seen in medical research. In a health survey parents were asked the number of days their children missed their activities (Y1) and the number of days their children spent in bed (Y2) due to illness in the past four weeks. Both variables exhibited zero inflation. We consider a bivariate Poisson-Poisson regression model, in which the two variables are regarded as indicators of an unobserved health status variable. Based on this, we further develop a bivariate Poisson-Poisson model that constrains Y1 ≥ Y2. It is often claimed that there is a critical window of growth and nutrition in foetal life and infancy during which subsequent health status is affected. It is not clear whether the claim is true and whether childhood growth matters more. We analyse the bivariate data in relation to weight-for-age in infancy and weight gain from infancy to age 7 years. The findings do not support the existence of a critical window in infancy. There is some indication that childhood weight gain might affect health status. Copyright © 2005 John Wiley & Sons, Ltd.en_HK
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.subjectAbsenteeismen_HK
dc.subjectChild healthen_HK
dc.subjectCompound distributionen_HK
dc.subjectGrowthen_HK
dc.subjectPoissonen_HK
dc.titleBivariate Poisson-Poisson model of zero-inflated absenteeism dataen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-6715&volume=25&spage=3707&epage=3717&date=2006&atitle=Bivariate+Poisson-Poisson+model+of+zero-inflated+absenteeism+dataen_HK
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hken_HK
dc.identifier.authorityLam, KF=rp00718en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/sim.2485en_HK
dc.identifier.pmid16381071-
dc.identifier.scopuseid_2-s2.0-33750354487en_HK
dc.identifier.hkuros129207en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33750354487&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume25en_HK
dc.identifier.issue21en_HK
dc.identifier.spage3707en_HK
dc.identifier.epage3717en_HK
dc.identifier.isiWOS:000241483500007-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridCheung, YB=7202111441en_HK
dc.identifier.scopusauthoridLam, KF=8948421200en_HK

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