The question of nonlinearity in the dose-response relation between particulate matter air pollution and mortality: Can Akaike's Information Criterion be trusted to take the right turn?

American Journal of Epidemiology

Volumn 164, Issue 12, 2006, Pages 1242-1250

  Roberts, Steven ^a   Martin, Michael A ^a  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Air pollution; Epidemiologic methods; Models; Mortality; Statistical

Indexed keywords

AKAIKE INFORMATION CRITERION; DOSE-RESPONSE RELATIONSHIP; MORTALITY; NONLINEARITY; NUMERICAL MODEL; PARTICULATE MATTER; POLLUTION EXPOSURE; PUBLIC HEALTH;

AGED; AIR POLLUTION; ARTICLE; CRITERION RELATED VALIDITY; FEMALE; HUMAN; LINEAR REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MORTALITY; PARTICULATE MATTER; UNITED STATES;

AGED; AIR POLLUTANTS; HUMANS; ILLINOIS; LINEAR MODELS; MORTALITY; NONLINEAR DYNAMICS; PARTICULATE MATTER; REPRODUCIBILITY OF RESULTS; WEATHER;

COOK COUNTY [ILLINOIS]; ILLINOIS; NORTH AMERICA; UNITED STATES;

EID: 33845316490     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwj335     Document Type: Article

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