Randomization Generator

Generate balanced treatment allocations for experimental studies

Study Configuration

Randomization Method

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What is Randomization?

Randomization is the process of assigning subjects to treatment groups by chance to eliminate selection bias and ensure comparability of groups. It's the cornerstone of experimental design.

Randomization Methods
  • Simple Random: Each subject has equal probability of assignment. Simple but may result in imbalanced groups, especially with small samples.
  • Block Randomization: Subjects are allocated in blocks to ensure balance throughout enrollment. Block size determines how many subjects are randomized together.
  • Stratified Randomization: Separate randomization within subgroups defined by important baseline characteristics (strata) to ensure balance on those factors.
Allocation Ratios

Not all studies use 1:1 allocation. Common alternatives:

  • 2:1 ratio: Two subjects to new treatment for every one to control. Useful when learning about safety/efficacy of new treatment.
  • 3:1 ratio: Maximum information about new treatment while maintaining control group.
  • Equal allocation (1:1): Provides maximum statistical power for given sample size.
Use Cases
  • Clinical trials with treatment and control groups
  • A/B testing with multiple variants
  • Educational interventions comparing teaching methods
  • Agricultural field trials
  • Psychology experiments with random assignment