The use of sampling weights in Bayesian hierarchical models for small area estimation

Spatial and Spatio-temporal Epidemiology

Volumn 11, Issue , 2014, Pages 33-43

  Chen, Cici ^a   Wakefield, Jon ^b   Lumely, Thomas ^c  

^a BROWN UNIVERSITY   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Bayesian methods; Integrated nested Laplace approximation; Sample surveys; Spatial statistics

Indexed keywords

ADULT; ARTICLE; BAYES THEOREM; BEHAVIORAL RISK FACTOR SURVEILLANCE SYSTEM; DIABETES MELLITUS; FEMALE; HUMAN; MALE; PREVALENCE; PRIORITY JOURNAL; SAMPLING; SIMULATION; ADOLESCENT; AGED; HEALTH BEHAVIOR; HIGH RISK BEHAVIOR; METHODOLOGY; MIDDLE AGED; REGRESSION ANALYSIS; RISK FACTOR; SELECTION BIAS; SPATIAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; UNITED STATES; YOUNG ADULT; BAYESIAN HIERARCHICAL MODEL;

ADOLESCENT; ADULT; AGED; BAYES THEOREM; DIABETES MELLITUS; FEMALE; HEALTH BEHAVIOR; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; REGRESSION ANALYSIS; RESEARCH DESIGN; RISK FACTORS; RISK-TAKING; SAMPLING STUDIES; SELECTION BIAS; SPATIAL ANALYSIS; WASHINGTON; YOUNG ADULT;

EID: 84906078542     PISSN: 18775845     EISSN: 18775853     Source Type: Journal    
DOI: 10.1016/j.sste.2014.07.002     Document Type: Article

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