Meta-analysis is a statistical procedure for combining the results from multiple studies in an effort to synthesize their findings. Potential benefits include increased power (over individual studies), improved estimates of effect sizes, and the ability to resolve uncertainty when research disagrees. Meta-analysis has become a popular tool for researchers in many fields. In this workshop, we will provide an introduction to the theory and statistical methods behind meta-analysis. Topics will include:
- Extraction of data from studies
- Effect sizes
- Fixed effects versus random effects models
- Heterogeneity
- Visualization and presentation of results