Bayesian spatial modeling of disease risk in relation to multivariate environmental risk fields

Statistics in Medicine

Volumn 29, Issue 1, 2010, Pages 142-157

  Kim, Ji In ^a   Lawson, Andrew B ^b   McDermott, Suzanne ^c   Aelion, C Marjorie ^d  

^a UNIVERSITY OF IOWA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^c UNIVERSITY OF SOUTH CAROLINA SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Bayesian; Environmental exposure; Logistic; Low rank kriging; Spatial

Indexed keywords

ARSENIC; BARIUM; BERYLLIUM; CHROMIUM; COPPER; LEAD; MANGANESE; MERCURY; NICKEL;

ADULT; ARTICLE; BAYES THEOREM; CASE CONTROL STUDY; CHILD; CHILD DEVELOPMENT; CLUSTER ANALYSIS; CONTROLLED STUDY; DEVELOPMENTAL DISORDER; ENVIRONMENTAL EXPOSURE; FEMALE; HUMAN; LOWEST INCOME GROUP; MAJOR CLINICAL STUDY; MALE; MEDICAID; MENTAL DEFICIENCY; MULTIVARIATE ANALYSIS; OUTCOMES RESEARCH; PREDICTION; PREGNANCY; RISK FACTOR; SOIL ANALYSIS; SOIL POLLUTION; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICAL PARAMETERS; UNITED STATES;

BAYES THEOREM; COMPUTER SIMULATION; DEVELOPMENTAL DISABILITIES; ENVIRONMENTAL EXPOSURE; FEMALE; HUMANS; INFANT; MATERNAL EXPOSURE; MEDICAID; MODELS, STATISTICAL; PREGNANCY; SOIL; SOUTH CAROLINA; UNITED STATES;

EID: 74849132723     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3777     Document Type: Article

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