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BMC Medical Research Methodology|July 13, 2010
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 aneurysmsC Elizabeth McCarron, Eleanor M Pullenayegum, Lehana Thabane, et al.Medical Decision Making : an International Journal of the Society for Medical Decision Making|October 12, 2012
The impact of using informative priors in a Bayesian cost-effectiveness analysis: an application of endovascular versus open surgical repair for abdominal aortic aneurysms in high-risk patientsC Elizabeth McCarron, Eleanor M Pullenayegum, Lehana Thabane, et al.Plos One|October 22, 2011
Bayesian hierarchical models combining different study types and adjusting for covariate imbalances: a simulation study to assess model performanceC Elizabeth McCarron, Eleanor M Pullenayegum, Lehana Thabane, et al.International Journal of Technology Assessment in Health Care|October 23, 2009
Handling uncertainty in economic evaluations of patient level data: a review of the use of Bayesian methods to inform health technology assessmentsC Elizabeth McCarron, Eleanor M Pullenayegum, Deborah A Marshall, et al.Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|October 7, 2009
Impact of the 1997 Canadian guidelines on the conduct of Canadian-based economic evaluations in the published literatureMorgan E Lim, James M Bowen, Daria O'Reilly, et al.The New England Journal of Medicine|January 17, 2024
Long-Term Outcomes of Resynchronization-Defibrillation for Heart FailureJohn L Sapp, Soori Sivakumaran, Calum J Redpath, et al.Pageof 1