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Article: Binary latent variable modelling and its application in the study of air pollution in Hong Kong
Title | Binary latent variable modelling and its application in the study of air pollution in Hong Kong |
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Authors | |
Keywords | Air pollution Binary latent variable BUGS Gibbs sampling Multiple binary outcomes |
Issue Date | 2004 |
Publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/ |
Citation | Statistics In Medicine, 2004, v. 23 n. 4, p. 667-684 How to Cite? |
Abstract | A binary latent variable is constructed to account for the correlation between multiple binary outcomes and is treated as a dependent variable in modelling for covariate effects. This modelling method is similar to the structural equation modelling. Three models are considered: (1) all covariates affecting the binary latent variable directly; (2) some covariates affecting the binary latent variable while other affecting the manifestation of the binary outcomes; and (3) no covariates are included. Gibbs sampling, a special case of the Markov Chain Monte Carlo method, is used to estimate the parameters in the models. Simulation studies show that this method is valid and reliable in estimating covariate effects. But Model (1) fitted the data best with lowest value in the deviance information criteria. The method is illustrated by applying it to the data analysis of an environmental air pollution study. The results show that air pollution (i.e. the most versus the least polluted district) (odds ratio 1.20; 95% confidence interval 0.97-1.49; p=0.102), smoking (relative to not smoking) (2.75; 2.21-3.41; p<0.001) and mosquito coil use (relative to non-use) (1.27; 0.99-1.62; p=0.058) had an impact on the respiratory health of male adults in Hong Kong. Copyright © 2004 John Wiley & Sons, Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/86842 |
ISSN | 2023 Impact Factor: 1.8 2023 SCImago Journal Rankings: 1.348 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hu, ZG | en_HK |
dc.contributor.author | Wong, CM | en_HK |
dc.contributor.author | Thach, TQ | en_HK |
dc.contributor.author | Lam, TH | en_HK |
dc.contributor.author | Hedley, AJ | en_HK |
dc.date.accessioned | 2010-09-06T09:22:00Z | - |
dc.date.available | 2010-09-06T09:22:00Z | - |
dc.date.issued | 2004 | en_HK |
dc.identifier.citation | Statistics In Medicine, 2004, v. 23 n. 4, p. 667-684 | en_HK |
dc.identifier.issn | 0277-6715 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/86842 | - |
dc.description.abstract | A binary latent variable is constructed to account for the correlation between multiple binary outcomes and is treated as a dependent variable in modelling for covariate effects. This modelling method is similar to the structural equation modelling. Three models are considered: (1) all covariates affecting the binary latent variable directly; (2) some covariates affecting the binary latent variable while other affecting the manifestation of the binary outcomes; and (3) no covariates are included. Gibbs sampling, a special case of the Markov Chain Monte Carlo method, is used to estimate the parameters in the models. Simulation studies show that this method is valid and reliable in estimating covariate effects. But Model (1) fitted the data best with lowest value in the deviance information criteria. The method is illustrated by applying it to the data analysis of an environmental air pollution study. The results show that air pollution (i.e. the most versus the least polluted district) (odds ratio 1.20; 95% confidence interval 0.97-1.49; p=0.102), smoking (relative to not smoking) (2.75; 2.21-3.41; p<0.001) and mosquito coil use (relative to non-use) (1.27; 0.99-1.62; p=0.058) had an impact on the respiratory health of male adults in Hong Kong. Copyright © 2004 John Wiley & Sons, Ltd. | en_HK |
dc.language | eng | en_HK |
dc.publisher | John Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/ | en_HK |
dc.relation.ispartof | Statistics in Medicine | en_HK |
dc.rights | Statistics in Medicine. Copyright © John Wiley & Sons Ltd. | en_HK |
dc.subject | Air pollution | - |
dc.subject | Binary latent variable | - |
dc.subject | BUGS | - |
dc.subject | Gibbs sampling | - |
dc.subject | Multiple binary outcomes | - |
dc.subject.mesh | Air Pollution - analysis | en_HK |
dc.subject.mesh | Computer Simulation | en_HK |
dc.subject.mesh | Environmental Exposure | en_HK |
dc.subject.mesh | Hong Kong - epidemiology | en_HK |
dc.subject.mesh | Humans | en_HK |
dc.subject.mesh | Male | en_HK |
dc.subject.mesh | Markov Chains | en_HK |
dc.subject.mesh | Models, Statistical | en_HK |
dc.subject.mesh | Monte Carlo Method | en_HK |
dc.subject.mesh | Questionnaires | en_HK |
dc.subject.mesh | Respiratory Tract Diseases - epidemiology | en_HK |
dc.title | Binary latent variable modelling and its application in the study of air pollution in Hong Kong | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-6715&volume=23&spage=667&epage=684&date=2004&atitle=Binary+latent+variable+modelling+and+its+application+in+the+study+of+air+pollution+in+Hong+Kong | en_HK |
dc.identifier.email | Wong, CM:hrmrwcm@hkucc.hku.hk | en_HK |
dc.identifier.email | Thach, TQ:thach@hku.hk | en_HK |
dc.identifier.email | Lam, TH:hrmrlth@hkucc.hku.hk | en_HK |
dc.identifier.email | Hedley, AJ:hrmrajh@hkucc.hku.hk | en_HK |
dc.identifier.authority | Wong, CM=rp00338 | en_HK |
dc.identifier.authority | Thach, TQ=rp00450 | en_HK |
dc.identifier.authority | Lam, TH=rp00326 | en_HK |
dc.identifier.authority | Hedley, AJ=rp00357 | en_HK |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.1002/sim.1661 | en_HK |
dc.identifier.pmid | 14755396 | - |
dc.identifier.scopus | eid_2-s2.0-1142275381 | en_HK |
dc.identifier.hkuros | 85605 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-1142275381&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 23 | en_HK |
dc.identifier.issue | 4 | en_HK |
dc.identifier.spage | 667 | en_HK |
dc.identifier.epage | 684 | en_HK |
dc.identifier.isi | WOS:000188737900010 | - |
dc.publisher.place | United Kingdom | en_HK |
dc.identifier.scopusauthorid | Hu, ZG=7404211146 | en_HK |
dc.identifier.scopusauthorid | Wong, CM=7404954904 | en_HK |
dc.identifier.scopusauthorid | Thach, TQ=6602850066 | en_HK |
dc.identifier.scopusauthorid | Lam, TH=7202522876 | en_HK |
dc.identifier.scopusauthorid | Hedley, AJ=7102584095 | en_HK |
dc.identifier.issnl | 0277-6715 | - |