Detecting small-area similarities in the epidemiology of childhood acute lymphoblastic leukemia and diabetes mellitus, type 1: A Bayesian approach

American Journal of Epidemiology

Volumn 161, Issue 12, 2005, Pages 1168-1180

  Feltbower, Richard G ^a   Manda, Samuel O M ^a   Gilthorpe, Mark S ^a   Greaves, Mel F ^b   Parslow, Roger C ^a   Kinsey, Sally E ^c   Bodansky, H Jonathan ^d   McKinney, Patricia A ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b INSTITUTE OF CANCER RESEARCH   (United Kingdom)

^c ST JAMES S UNIVERSITY HOSPITAL   (United Kingdom)

^d LEEDS GENERAL INFIRMARY   (United Kingdom)

Author keywords

Bayesian analysis; Child; Diabetes mellitus, type 1; Hierarchical model; Infection; Leukemia; Spatial model

Indexed keywords

BAYESIAN ANALYSIS; CANCER; CHILD HEALTH; DIABETES;

ACUTE LYMPHOBLASTIC LEUKEMIA; ADOLESCENT; ARTICLE; BAYES THEOREM; CHILD; CHILDHOOD LEUKEMIA; DIABETES MELLITUS; FEMALE; GEOGRAPHIC DISTRIBUTION; HUMAN; INCIDENCE; INFANT; INSULIN DEPENDENT DIABETES MELLITUS; LEUKEMIA; MAJOR CLINICAL STUDY; MALE; RISK ASSESSMENT; STATISTICAL MODEL; UNITED KINGDOM;

ADOLESCENT; AGE DISTRIBUTION; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; DIABETES MELLITUS, TYPE 1; FEMALE; GREAT BRITAIN; HUMANS; INCIDENCE; INFANT; INFANT, NEWBORN; LEUKEMIA, LYMPHOCYTIC, ACUTE; MALE; RURAL POPULATION; SEX DISTRIBUTION; URBAN POPULATION;

EID: 20544445618     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/kwi146     Document Type: Article

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