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Conference Paper: Analysis of breath alcohol measurements using compartmental and generalized linear models
Title | Analysis of breath alcohol measurements using compartmental and generalized linear models |
---|---|
Authors | |
Keywords | blood alcohol concentration one-compartment model generalized linear model nonlinear mixed model generalized linear mixed model |
Issue Date | 2010 |
Publisher | Physica-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? |
Abstract | Pharmacokinetic 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. |
Description | Session: CP11: Biostatistics & Bio-Computing 2 |
Persistent Identifier | http://hdl.handle.net/10722/138012 |
ISBN |
DC Field | Value | Language |
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dc.contributor.author | Yang, CT | en_US |
dc.contributor.author | Fung, TWK | en_US |
dc.contributor.author | Tam, WM | en_US |
dc.date.accessioned | 2011-08-26T14:38:16Z | - |
dc.date.available | 2011-08-26T14:38:16Z | - |
dc.date.issued | 2010 | en_US |
dc.identifier.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 | en_US |
dc.identifier.isbn | 9783790826036 | - |
dc.identifier.uri | http://hdl.handle.net/10722/138012 | - |
dc.description | Session: CP11: Biostatistics & Bio-Computing 2 | - |
dc.description.abstract | Pharmacokinetic 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.language | eng | en_US |
dc.publisher | Physica-Verlag HD. | en_US |
dc.relation.ispartof | International Conference on Computational Statistics | en_US |
dc.subject | blood alcohol concentration | - |
dc.subject | one-compartment model | - |
dc.subject | generalized linear model | - |
dc.subject | nonlinear mixed model | - |
dc.subject | generalized linear mixed model | - |
dc.title | Analysis of breath alcohol measurements using compartmental and generalized linear models | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Fung, TWK: wingfung@hku.hk | en_US |
dc.identifier.authority | Fung, TWK=rp00696 | en_US |
dc.identifier.doi | 10.1007/978-3-7908-2604-3 | - |
dc.identifier.hkuros | 189478 | en_US |
dc.identifier.spage | 1693 | en_US |
dc.identifier.epage | 1700 | en_US |
dc.publisher.place | Heidelberg | - |