We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Bayesian hierarchical models combining different study types and adjusting for covariate imbalances: a simulation study to assess model performance.
- Authors
McCarron, C Elizabeth; Pullenayegum, Eleanor M; Thabane, Lehana; Goeree, Ron; Tarride, Jean-Eric
- Abstract
Bayesian hierarchical models have been proposed to combine evidence from different types of study designs. However, when combining evidence from randomised and non-randomised controlled studies, imbalances in patient characteristics between study arms may bias the results. The objective of this study was to assess the performance of a proposed Bayesian approach to adjust for imbalances in patient level covariates when combining evidence from both types of study designs.
- Publication
PloS one, 2011, Vol 6, Issue 10, pe25635
- ISSN
1932-6203
- Publication type
Journal Article
- DOI
10.1371/journal.pone.0025635