Geographic variations in risk: Adjusting for unmeasured confounders through joint modeling of multiple diseases

Epidemiology

Volumn 20, Issue 3, 2009, Pages 400-410

  Best, Nicky ^a   Hansell, Anna Louise ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AIR POLLUTION; ARTICLE; BAYES THEOREM; BIVARIATE ANALYSIS; CANCER MORTALITY; CHRONIC OBSTRUCTIVE LUNG DISEASE; CONFOUNDING VARIABLE; GEOGRAPHIC DISTRIBUTION; HUMAN; INDUSTRY; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MINING; MORTALITY; PRIORITY JOURNAL; REGRESSION ANALYSIS; RISK FACTOR; SMOKING; SPATIAL AUTOCORRELATION ANALYSIS; STANDARDIZED MORTALITY RATIO; UNITED KINGDOM;

BAYES THEOREM; CONFOUNDING FACTORS (EPIDEMIOLOGY); GEOGRAPHY; GREAT BRITAIN; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, STATISTICAL; MORTALITY; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; RISK ASSESSMENT;

EID: 67651092172     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/EDE.0b013e31819d90f9     Document Type: Article

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