Randomization Simulation

Optimize Clinical Study Design With Randomization Simulation

Clinical Trial designs are becoming more complex and the pressure to streamline and accelerate clinical trials continues to increase. Nonetheless, it remains critical to carefully design randomization methods that will result in a final patient distribution that is optimized for statistical analyses.

Please join Tony Warren, Anju Software’s Product Manager as he discusses how automated randomization simulations can support the use of dynamic randomization techniques without negatively impacting your study timelines.

Key Learning Objectives

  • Components of a system for randomization and clinical trial supplies management
  • Introduction to dynamic minimization based on Zelen and Pocock & Simon algorithms
  • Building a simulation and archiving results
  • Creating variants of existing simulations in a batch mode to enable a large suite of results to be created for detailed analysis


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