Using spline models to estimate the varying health risks from air pollution across Scotland

Statistics in Medicine

Volumn 31, Issue 27, 2012, Pages 3366-3378

  Lee, Duncan ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Air pollution and health; Bayesian hierarchical modelling; Varying coefficient models

Indexed keywords

AIR POLLUTION; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; DATA COLLECTION METHOD; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; GEOGRAPHIC DISTRIBUTION; HEALTH HAZARD; HUMAN; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; NONLINEAR SYSTEM; PARTICULATE MATTER; PROBABILITY; PROCESS DEVELOPMENT; PROCESS MODEL; RISK ASSESSMENT; RISK FACTOR; SPLINE MODEL; UNCERTAINTY; UNITED KINGDOM;

BAYES THEOREM; COMPUTER SIMULATION; ENVIRONMENTAL EXPOSURE; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; PARTICULATE MATTER; RESPIRATORY TRACT DISEASES; RISK FACTORS; SCOTLAND;

EID: 84869088829     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5420     Document Type: Article

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