Models for Potentially Biased Evidence in Meta-Analysis using Empirically Based Priors
Models for Potentially Biased Evidence in Meta-Analysis using Empirically Based Priors
Summary We present models for the combined analysis of evidence from randomized controlled trials categorized as being at either low or high risk of bias due to a flaw in their conduct. We formulate a bias model that incorporates between-study and between-meta-analysis heterogeneity in bias, and uncertainty in overall mean …