Combining Related and Sparse Data in Linear Regression Models
Meta-analysis has become a popular approach for studying systematic variation in parameter estimates across studies. This article discusses the use of meta-analysis results as prior information in a new study. Although hierarchical prior distributions in a traditional Bayesian framework are characterized by complete exchangeability, meta-analysis priors explicitly incorporate heterogeneity in prior vectors.