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  • What is Block Randomization?
  • When is Block Randomization used in Clinical Trials?
  • How does Clinion support Block Randomization?
  • What it looks like in practice
  • Related Terms
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What is Block Randomization?

Block randomization is a randomization method used in clinical trials to assign participants to treatment groups in predefined blocks. It helps ensure that each treatment arm maintains a balanced number of participants throughout the enrollment period, rather than only at the end of the study.

The size and sequence of each block are determined before the trial begins and are incorporated into the study's randomization strategy.

When is Block Randomization used in Clinical Trials?

Block randomization is commonly used in clinical trials to maintain balanced participant allocation across treatment groups, particularly when enrollment occurs over an extended period or across multiple study sites. It helps prevent unequal group sizes that could affect study conduct or statistical analysis.

Depending on the study design, block randomization may be used alone or in combination with stratification to balance important participant characteristics across treatment arm

How does Clinion support Block Randomization?

During study setup, study teams can configure block randomization schemes, block sizes, allocation ratios, and treatment arms within Clinion RTSM based on the study protocol. These settings become part of the study's predefined randomization strategy.

As participants are enrolled, Clinion RTSM automatically assigns them to the appropriate treatment arm according to the configured block randomization schedule. This helps maintain balanced treatment groups throughout enrollment while reducing manual intervention and supporting protocol compliance.

What it looks like in practice

A clinical trial comparing two treatments uses a block size of four with a 1:1 allocation ratio. As participants enroll, the RTSM system assigns them according to the predefined randomization schedule so that each block contains two participants in Treatment A and two in Treatment B. This approach helps maintain balanced treatment groups throughout participant enrollment.

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RTSM