| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 7518998 | Journal of Clinical Epidemiology | 2018 | 22 Pages | 
Abstract
												We argue that heterogeneity in a meta-analysis of baseline variables should not exist, and therefore removing trials which contribute to heterogeneity from a meta-analysis will produce a more valid result. In our example none of the overall outcomes changed when studies contributing to heterogeneity were removed. We recommend routine use of this technique, using age and a second baseline variable predictive of outcome for the particular study chosen, to help eliminate potential bias in meta-analyses.
											Keywords
												
											Related Topics
												
													Health Sciences
													Medicine and Dentistry
													Public Health and Health Policy
												
											Authors
												Amy Hicks, Caroline Fairhurst, David J. Torgerson, 
											