Variable selection for spatial random field predictors under a Bayesian mixed hierarchical spatial model

Spatial and Spatio-temporal Epidemiology

Volumn 1, Issue 1, 2009, Pages 95-102

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

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

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

Author keywords

Bayesian; Logistic; Random fields; Spatial; Variable selection

Indexed keywords

AIR POLLUTION; ARTICLE; BAYES THEOREM; DEVELOPMENTAL DISORDER; DISABILITY; ENVIRONMENTAL FACTOR; ENVIRONMENTAL HEALTH; HUMAN; MENTAL DEFICIENCY; MORTALITY; PRIORITY JOURNAL; SIMULATION; SOIL ANALYSIS; SOIL POLLUTION; STATISTICAL MODEL;

BAYES THEOREM; COMPUTER SIMULATION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL HEALTH; ENVIRONMENTAL MONITORING; FEMALE; HUMANS; LOGISTIC MODELS; MALE; PREDICTIVE VALUE OF TESTS; PUBLIC HEALTH; SOUTH CAROLINA; SPATIO-TEMPORAL ANALYSIS;

EID: 77953255074     PISSN: 18775845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sste.2009.07.003     Document Type: Article

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