BaySTDetect: Detecting unusual temporal patterns in small area data via Bayesian model choice

Biostatistics

Volumn 13, Issue 4, 2012, Pages 695-710

  Li, Guangquan ^a   Best, Nicky ^a   Hansell, Anna L ^a   Ahmed, Ismaïl ^a,b   Richardson, Sylvia ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b CENTRE FOR RESEARCH IN EPIDEMIOLOGY AND POPULATION HEALTH   (France)

Author keywords

Bayesian spatiotemporal analysis; COPD; Detection; Disease surveillance; FDR

Indexed keywords

ARTICLE; BAYES THEOREM; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER SIMULATION; HUMAN; MORTALITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; UNITED KINGDOM;

BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; GREAT BRITAIN; HUMANS; MODELS, STATISTICAL; PULMONARY DISEASE, CHRONIC OBSTRUCTIVE; SMALL-AREA ANALYSIS;

EID: 84866353012     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxs005     Document Type: Article

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