Bayesian partitioning for modeling and mapping spatial case-control data

Biometrics

Volumn 65, Issue 4, 2009, Pages 1123-1132

  Costain, Deborah A ^a  

^a LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

Bayesian partitioning; Geo referenced case control data; Reversible jump MCMC; Spatial variation in infant mortality

Indexed keywords

DISEASE CONTROL; PUBLIC HEALTH; RISK PERCEPTION;

BAYESIAN; BAYESIAN PARTITIONING; CASE-CONTROL; CONTROL DATA; DISEASE RISKS; GEO-REFERENCED CASE-CONTROL DATA; INFANT MORTALITY; REVERSIBLE-JUMP MCMC; SPATIAL VARIATION IN INFANT MORTALITY; SPATIAL VARIATIONS;

MAPPING;

BAYESIAN ANALYSIS; HETEROGENEITY; INFANT MORTALITY; SPATIAL ANALYSIS; SPATIAL VARIATION;

APGAR SCORE; ARTICLE; BAYES THEOREM; BIRTH WEIGHT; BRAZIL; CASE CONTROL STUDY; DEMOGRAPHY; HEALTH CARE QUALITY; HUMAN; HYPOTHESIS; INFANT MORTALITY; METHODOLOGY; RESEARCH; RISK ASSESSMENT; SPATIAL AUTOCORRELATION ANALYSIS; THEORETICAL MODEL;

EID: 70450240728     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.01193.x     Document Type: Article

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