Sample Allocation and Randomization

Proper allocation of subjects to study arms in clinical trials is an important task. Generally, you can randomly assign samples to a study arm, assign them based on some other set of criteria or assign them based on the performance in each arm.

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Sample Randomization

Simple randomization assigns a new subject to a group according to a generalized Bernoulli distribution.

Block randomization permutes blocks of assignments to determine group assignment.

Adds random block lengths for each block to prevent deciphering.

Permutes a predefined list of assignments to determine group assignment.

Permutes a predefined list of assignments to determine group assignment while minimizing the length of runs.

Uses complete randomization to randomize treatment order per subject.
Simple randomization but with a fixed bias towards the underrepresented group to minimize the length of runs.
Simple randomization but with a dynamic bias towards the underrepresented group to minimize the length of runs.
Simple randomization but with a dynamic bias towards the underrepresented group to minimize the length of runs.
Randomization within strata using block randomization.

Covariate Adjusted Sample Allocation

Minimization allocates subjects to study arms in such as way that selected covariates are balanced between the study arms.

Response Adaptive Sample Allocation

Bayesian method to randomizes new subjects to a study arm favoring the arm with the better response using biased coin techniques.

Randomizes new subjects to a study arm favoring the arm with the better response.

If there is a method that you need but is not listed, let us know. We are always expanding our list of tools!

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