1. Identify prognostic baseline characteristics a priori using background literature, historical data, or previous trials. | |
2. Generate all (or at least 1000) simple randomizations to identify baseline characteristics that are always balanced between treatment arms (e.g., ≥95% of the time). | |
3. Carefully consider the number of variables added to the constraining process or consider using a dimensionality-reduction method for many variables (e.g., principal component analysis). | |
4. Consider the amount of missingness of constrained baseline characteristics prior to randomization. | |
5. Enumerate all possible allocation schemes when there are fewer than 20 clusters or at least 100,000 allocations otherwise. |