Statistical methods for linking health, exposure, and hazards

Environmental Health Perspectives

Volumn 112, Issue 14, 2004, Pages 1440-1445

  Mather, Frances Jean ^a   White, LuAnn Ellis ^a   Langlois, Elizabeth Cullen ^a   Shorter, Charles Franklin ^a   Swalm, Christopher Martin ^a   Shaffer, Jeffrey George ^a   Hartley, William Ralph ^a  

^a TULANE UNIVERSITY   (United States)

Author keywords

Bayesian modeling; Data linkage; Exposure; GIS; Hazards; Health outcome data; Statistical methods

Indexed keywords

BAYES THEOREM; CLUSTER ANALYSIS; CORRELATION ANALYSIS; DATA ANALYSIS; ECOLOGY; ENVIRONMENTAL EXPOSURE; GEOGRAPHY; GEOSTATISTICAL ANALYSIS; HEALTH HAZARD; HYPOTHESIS; INFORMATION PROCESSING; MONTE CARLO METHOD; OUTCOMES RESEARCH; PRIORITY JOURNAL; PROBABILITY; PUBLIC HEALTH; RELIABILITY; REVIEW; STATISTICAL ANALYSIS;

CASE-CONTROL STUDIES; COHORT STUDIES; DATA COLLECTION; ENVIRONMENTAL EXPOSURE; ENVIRONMENTAL HEALTH; ENVIRONMENTAL POLLUTANTS; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; INFORMATION SYSTEMS; MODELS, THEORETICAL; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; OUTCOME ASSESSMENT (HEALTH CARE); REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; UNITED STATES;

EID: 6344253401     PISSN: 00916765     EISSN: None     Source Type: Journal    
DOI: 10.1289/ehp.7145     Document Type: Review

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