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The importance of adjusting for potential confounders in Bayesian hierarchical models synthesising evidence from randomised and non-randomised studies: an application comparing treatments for…

Overview of attention for article published in BMC Medical Research Methodology, July 2010
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Title
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
Published in
BMC Medical Research Methodology, July 2010
DOI 10.1186/1471-2288-10-64
Pubmed ID
Authors

C Elizabeth McCarron, Eleanor M Pullenayegum, Lehana Thabane, Ron Goeree, Jean-Eric Tarride

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Netherlands 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 21%
Student > Ph. D. Student 8 19%
Other 5 12%
Student > Doctoral Student 4 9%
Professor 3 7%
Other 7 16%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 20 47%
Mathematics 2 5%
Computer Science 2 5%
Psychology 2 5%
Nursing and Health Professions 1 2%
Other 6 14%
Unknown 10 23%