An empirical hierarchical Bayesian unification of occupational exposure assessment methods

Statistics in Medicine

Volumn 28, Issue 1, 2009, Pages 75-93

  Sottas, Pierre Edouard ^a   Lavoué, Jérome ^a   Bruzzi, Raffaella ^a   Vernez, David ^a   Charrière, Nicole ^a   Droz, Pierre Olivier ^a  

^a Pôle Santeacute des Travailleurs   (Switzerland)

Author keywords

Bayesian inference; Exposure assessment; Hierarchical models; Neural network; Sampling strategy

Indexed keywords

2 PROPANOL;

AIR POLLUTANT; AIRBORNE INFECTION; ARTICLE; BAYES THEOREM; ENVIRONMENTAL IMPACT ASSESSMENT; INDUSTRIAL HYGIENE; MEASUREMENT; MONTE CARLO METHOD; OCCUPATIONAL EXPOSURE; VALIDITY; WORKPLACE;

AIR POLLUTION; BAYES THEOREM; HUMANS; MODELS, STATISTICAL; MONTE CARLO METHOD; NEURAL NETWORKS (COMPUTER); OCCUPATIONAL EXPOSURE; OCCUPATIONAL HEALTH; RISK ASSESSMENT; THRESHOLD LIMIT VALUES;

EID: 61749096255     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3411     Document Type: Article

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