Heterogeneity Analysis:

1. Calculate Q-statistic and p-value.

2. Compute I-squared to quantify heterogeneity.

3. Estimate Tau-squared and Tau to understand between-study variance.

Sensitivity Analysis:

1. Leave-one-out analysis to assess each study's influence.

2. Subgroup analysis based on study characteristics.

3. Compare different statistical models (fixed vs. random effects).

4. Examine outliers and influential cases using statistical measures or plots.

5. Assess publication bias (though sometimes considered separate).

6. Perform meta-regression if covariates are available to explain heterogeneity.

7. Conduct cumulative meta-analysis.