Hierarchical Bayesian spatial models for alcohol availability, drug "hot spots" and violent crime

International Journal of Health Geographics

Volumn 5, Issue , 2006, Pages

  Zhu, Li ^a   Gorman, Dennis M ^a   Horel, Scott ^a  

^a TEXAS A AND M HEALTH SCIENCE CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ALCOHOL ABUSE; ALCOHOL CONSUMPTION; ARTICLE; BAYES THEOREM; CRIME; DRUG ABUSE; DRUG LEGISLATION; GEOGRAPHIC DISTRIBUTION; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; MALE; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; POISSON DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; UNITED STATES; VIOLENCE; ALCOHOLIC BEVERAGE; DEMOGRAPHY; DRINKING BEHAVIOR; EPIDEMIOLOGY; MARKETING; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; URBAN POPULATION;

ALCOHOL DRINKING; ALCOHOLIC BEVERAGES; BAYES THEOREM; HUMANS; MARKETING; MODELS, THEORETICAL; POISSON DISTRIBUTION; RESIDENCE CHARACTERISTICS; TEXAS; URBAN POPULATION; VIOLENCE;

EID: 33845662321     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-5-54     Document Type: Article

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