Stratified randomization is particularly useful in the following scenarios: 1. Small to Medium Sample Sizes: Where random imbalances in covariates are more likely. 2. Heterogeneous Populations: Studies involving diverse populations with varying baseline characteristics. 3. Key Prognostic Factors: When certain covariates are known to have significant effects on the outcomes of interest.
