Adjusted likelihoods for synthesising empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke
Wolpert, Robert L. & Mengersen, Kerrie L. (2004) Adjusted likelihoods for synthesising empirical evidence from studies that differ in quality and design: effects of environmental tobacco smoke. Statistical Science, 19(3), pp. 450-471.
Methods are introduced and illustrated for synthesising evidence from case control and cohort studies, and controlled trials, accounting for differences among the studies in their design, length of followup and quality. The methods, based on hierarchical but nonexchangeable Bayesian models, are illustrated in a synthesis of disparate information about the health effects of passive exposure to environmental tobacco smoke.
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|Item Type:||Journal Article|
|Keywords:||adjustment, environmental tobacco smoke, ETS, meta, analysis, nonexchangeable hierarchical Bayesian model, quality of study|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > STATISTICS (010400)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 2004 Institute of Mathematical Statistics|
|Copyright Statement:||Reproduced in accordance with the copyright policy of the publisher: This journal is available online.|
|Deposited On:||18 Mar 2005|
|Last Modified:||29 Feb 2012 23:09|
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