Medidata Balance Randomization Design and Simulations

Medidata Balance Randomization Design & Simulations focuses on creating and configuring trial simulations for a study using the pre-validated randomization methods available in Balance. Specifically, this course will review two main randomization methods:

  • Dynamic Allocation, which allocates treatments to subjects based on the imbalance of treatments
  • Permuted block, which randomizes subjects to block randomization lists

This class is a 4 hour Virtual Instructor-Led training that will walk through both randomization concepts with hands-on exercises, and analyze the simulated outputs based on the randomization design.

Maximum Number of Attendees: 10

 

Cancellation Policy

Please review the Medidata Academy Training Delivery Cancellation Policy prior to scheduling.

Training alert

Medidata Academy is excited to announce the new Balance Randomization Design and Simulation Instructor led Training!

 

Medidata Balance Randomization Design & Simulations focuses on creating and configuring trial simulations for a study using the pre-validated randomization methods available in Balance. Specifically, this course will review two main randomization methods:

  • Dynamic Allocation; which allocates treatments to subjects based on the imbalance of treatments
  • Permuted block; which randomizes subjects to block randomization lists


This class is a 4 hour Virtual Instructor-Led training that will walk through both randomization concepts with hands-on exercises, and analyze the simulated outputs based on the randomization design.

 

If you have any questions, please feel free to reach out to us at academy@mdsol.com