Binary latent variable modelling and its application in the study of air pollution in Hong Kong

Statistics in Medicine

Volumn 23, Issue 4, 2004, Pages 667-684

  Hu, Z G ^a   Wong, C M ^a   Thach, T Q ^a   Lam, T H ^a   Hedley, A J ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Air pollution; Binary latent variable; BUGS; Gibbs sampling; Multiple binary outcomes

Indexed keywords

ADULT; AIR POLLUTION; ANALYSIS OF VARIANCE; ARTICLE; CHILD; CIGARETTE SMOKING; CORRELATION ANALYSIS; ENVIRONMENTAL IMPACT ASSESSMENT; HONG KONG; HUMAN; MALE; MATHEMATICAL MODEL; MONTE CARLO METHOD; OUTCOMES RESEARCH; POLLUTION MONITORING; PROBABILITY; RELIABILITY; RESPIRATORY SYSTEM; RISK ASSESSMENT; SIMULATION; VALIDATION PROCESS;

AIR POLLUTION; COMPUTER SIMULATION; ENVIRONMENTAL EXPOSURE; HONG KONG; HUMANS; MALE; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; QUESTIONNAIRES; RESPIRATORY TRACT DISEASES;

EID: 1142275381     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1661     Document Type: Article

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