The process of performing meta-regression typically involves the following steps: 1. Data Extraction: Collect effect sizes and potential moderators from the included studies. 2. Model Specification: Choose an appropriate statistical model, often a linear or logistic regression model. 3. Model Fitting: Fit the model to the data using specialized software like R or Stata. 4. Interpretation: Interpret the regression coefficients to understand the impact of moderators on the effect sizes.
