Spatial variable selection methods for investigating acute health effects of fine particulate matter components

Biometrics

Volumn 71, Issue 1, 2015, Pages 167-177

  Boehm Vock, Laura F ^a   Reich, Brian J ^b   Fuentes, Montserrat ^b   Dominici, Francesca ^c  

^a ST OLAF COLLEGE   (United States)

^b NORTH CAROLINA STATE UNIVERSITY   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

Bayesian modeling; Fine particulate matter; Spatial data; Stochastic search variable selection

Indexed keywords

BAYESIAN NETWORKS; SITE SELECTION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

BAYESIAN MODELLING; FINE PARTICULATE MATTER; HEALTH EFFECTS; PARTICULATE MATTER; SPATIAL DATA; SPATIAL VARIABLES; STOCHASTIC SEARCH; STOCHASTIC SEARCH VARIABLE SELECTION; VARIABLE SELECTION METHODS; VARIABLES SELECTIONS;

LOCATION;

HEALTH RISK; LOCATION THEORY; PARTICULATE MATTER; REGRESSION ANALYSIS; SPATIAL VARIATION; STATISTICAL ANALYSIS; STOCHASTICITY; TIME SERIES;

UNITED STATES;

PARTICULATE MATTER;

AIR POLLUTION; ANALYSIS; CARDIOVASCULAR DISEASE; CHEMISTRY; COMORBIDITY; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HUMAN; INCIDENCE; INTERNATIONAL COOPERATION; MORTALITY; PARTICULATE MATTER; PROCEDURES; RESPIRATORY TRACT DISEASE; RISK ASSESSMENT; SPATIOTEMPORAL ANALYSIS; STATISTICAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

AIR POLLUTION; CARDIOVASCULAR DISEASES; COMORBIDITY; DATA INTERPRETATION, STATISTICAL; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL MONITORING; HUMANS; INCIDENCE; INTERNATIONALITY; PARTICULATE MATTER; RESPIRATORY TRACT DISEASES; RISK ASSESSMENT; SPATIO-TEMPORAL ANALYSIS;

EID: 84961288739     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12254     Document Type: Article

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