How robust are the estimated effects of air pollution on health? Accounting for model uncertainty using Bayesian model averaging

Spatial and Spatio-temporal Epidemiology

Volumn 18, Issue , 2016, Pages 53-62

  Pannullo, Francesca ^a   Lee, Duncan ^a   Waclawski, Eugene ^a   Leyland, Alastair H ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Bayesian model averaging; Conditional autoregressive models; Nitrogen dioxide; Spatial autocorrelation

Indexed keywords

NITROGEN DIOXIDE; AIR POLLUTANT;

AIR POLLUTION; ARTICLE; ATMOSPHERIC DISPERSION; BAYES THEOREM; HEALTH; HUMAN; LONG TERM EXPOSURE; MORTALITY; MORTALITY RATE; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; RISK FACTOR; RURAL AREA; SOCIOECONOMICS; AIR POLLUTANT; ANALYSIS; CARDIOVASCULAR DISEASES; HEALTH STATUS; SCOTLAND; SPATIOTEMPORAL ANALYSIS; STATISTICS; THEORETICAL MODEL;

AIR POLLUTANTS; AIR POLLUTION; BAYES THEOREM; CARDIOVASCULAR DISEASES; HEALTH STATUS; HUMANS; MODELS, THEORETICAL; NITROGEN DIOXIDE; SCOTLAND; SPATIO-TEMPORAL ANALYSIS; STATISTICS AS TOPIC;

EID: 84965031785     PISSN: 18775845     EISSN: 18775853     Source Type: Journal    
DOI: 10.1016/j.sste.2016.04.001     Document Type: Article

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