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Conference Paper: Analysis of breath alcohol measurements using compartmental and generalized linear models

TitleAnalysis of breath alcohol measurements using compartmental and generalized linear models
Authors
Keywordsblood alcohol concentration
one-compartment model
generalized linear model
nonlinear mixed model
generalized linear mixed model
Issue Date2010
PublisherPhysica-Verlag HD.
Citation
The 19th International Conference on Computational Statistics (COMPSTAT' 2010), Paris, France, 22-27 August 2010. In the Proceedings of COMPSTAT' 2010, p. 1693-1700 How to Cite?
AbstractPharmacokinetic parameters are important for clinical application. Traditionally, compartmental model together with non-compartmental approach are commonly adopted to deal with the analysis of pharmacokinetic data. In this study, we apply the alternative generalized linear model as proposed by Wake eld (2004) to the breath alcohol measurements of Chinese subjects in Hong Kong. Both compartmental and generalized linear models are tted to each subject involved. Four core pharmacokinetic parameters including the time to maximum blood alcohol concentration (BAC) level, the BAC level attained at peak, the rate of clearance and elimination half-life are examined. The parameter estimates under the two models are then compared. Finally, we also extend the concept from the individual to the population level.
DescriptionSession: CP11: Biostatistics & Bio-Computing 2
Persistent Identifierhttp://hdl.handle.net/10722/138012
ISBN

 

DC FieldValueLanguage
dc.contributor.authorYang, CTen_US
dc.contributor.authorFung, TWKen_US
dc.contributor.authorTam, WMen_US
dc.date.accessioned2011-08-26T14:38:16Z-
dc.date.available2011-08-26T14:38:16Z-
dc.date.issued2010en_US
dc.identifier.citationThe 19th International Conference on Computational Statistics (COMPSTAT' 2010), Paris, France, 22-27 August 2010. In the Proceedings of COMPSTAT' 2010, p. 1693-1700en_US
dc.identifier.isbn9783790826036-
dc.identifier.urihttp://hdl.handle.net/10722/138012-
dc.descriptionSession: CP11: Biostatistics & Bio-Computing 2-
dc.description.abstractPharmacokinetic parameters are important for clinical application. Traditionally, compartmental model together with non-compartmental approach are commonly adopted to deal with the analysis of pharmacokinetic data. In this study, we apply the alternative generalized linear model as proposed by Wake eld (2004) to the breath alcohol measurements of Chinese subjects in Hong Kong. Both compartmental and generalized linear models are tted to each subject involved. Four core pharmacokinetic parameters including the time to maximum blood alcohol concentration (BAC) level, the BAC level attained at peak, the rate of clearance and elimination half-life are examined. The parameter estimates under the two models are then compared. Finally, we also extend the concept from the individual to the population level.-
dc.languageengen_US
dc.publisherPhysica-Verlag HD.en_US
dc.relation.ispartofInternational Conference on Computational Statisticsen_US
dc.subjectblood alcohol concentration-
dc.subjectone-compartment model-
dc.subjectgeneralized linear model-
dc.subjectnonlinear mixed model-
dc.subjectgeneralized linear mixed model-
dc.titleAnalysis of breath alcohol measurements using compartmental and generalized linear modelsen_US
dc.typeConference_Paperen_US
dc.identifier.emailFung, TWK: wingfung@hku.hken_US
dc.identifier.authorityFung, TWK=rp00696en_US
dc.identifier.doi10.1007/978-3-7908-2604-3-
dc.identifier.hkuros189478en_US
dc.identifier.spage1693en_US
dc.identifier.epage1700en_US
dc.publisher.placeHeidelberg-

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