Modelling approaches in meta-analysis: from sandwich estimators to correlated hierarchical models
Post provided by Coralie Williams Conducting a meta-analysis involves a series of decisions, from choosing what data to extract to selecting the outcome measure. But then comes the model specification – how should it be formulated? At its simplest, a meta-analysis can be expressed as a simple linear regression model where the outcome is an effect size (yi), which is a quantitative measure derived from … Continue reading Modelling approaches in meta-analysis: from sandwich estimators to correlated hierarchical models



