Randomization Generator
Overview
The Randomization Generator helps you randomize subjects to treatment groups for clinical trials and experimental studies. It supports simple random assignment, block randomization, and stratified randomization with multiple stratification factors. Generate allocation lists with proper balance verification and export results for implementation.
Tips
- Use block randomization to ensure balance throughout enrollment rather than just at the end
- Smaller block sizes (2-4) provide better balance but are more predictable; larger blocks (6-8) are less predictable
- Stratified randomization is essential when you have important baseline characteristics that could confound results
- For multi-center trials, always stratify by site to ensure balance within each location
- The allocation ratio doesn’t have to be 1:1 - use 2:1 or 3:1 when comparing to standard of care
- Keep the allocation sequence confidential and use sealed envelopes or electronic randomization systems
- Document your randomization method in your study protocol before enrolling any subjects
- Verify balance across groups after allocation to ensure randomization worked as expected