The importance of adjusting for potential confounders in Bayesian hierarchical models synthesising evidence from randomised and non-randomised studies: An application comparing treatments for abdominal aortic aneurysms

BMC Medical Research Methodology

Volumn 10, Issue , 2010, Pages

  Mccarron, C Elizabeth ^a,b   Pullenayegum, Eleanor M ^a,b   Thabane, Lehana ^a,b   Goeree, Ron ^a,b   Tarride, Jean Eric ^a,b  

^a MCMASTER UNIVERSITY   (Canada)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ABDOMINAL AORTA ANEURYSM; ARTICLE; BAYES THEOREM; CLINICAL TRIAL; COMPARATIVE STUDY; EPIDEMIOLOGY; EVIDENCE BASED MEDICINE; FEMALE; HUMAN; MALE; META ANALYSIS; RANDOMIZED CONTROLLED TRIAL; RISK; STATISTICAL MODEL;

AORTIC ANEURYSM, ABDOMINAL; BAYES THEOREM; CLINICAL TRIALS AS TOPIC; CONFOUNDING FACTORS (EPIDEMIOLOGY); EVIDENCE-BASED MEDICINE; FEMALE; HUMANS; MALE; META-ANALYSIS AS TOPIC; MODELS, STATISTICAL; ODDS RATIO; RANDOMIZED CONTROLLED TRIALS AS TOPIC;

EID: 77954338504     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-10-64     Document Type: Article

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