Complex Randomization Delivered Successfully

LG Chem encountered challenges in managing a clinical trial with a complex randomization design, involving a 10:10:10:10:1 ratio and three stratification factors, risking imbalance and complicating data analysis. Perceptive eClinical randomization experts proved crucial in overcoming LG Chem's obstacles. To mitigate imbalance risks, the eClinical team recommended a minimization design over a traditional blocked list. Utilizing a proprietary SAS program, they conducted simulations that demonstrated the effectiveness of this method and established optimal settings for the IRT system. This strategy incorporated a random element to maintain unpredictability and balance across treatment arms. Learn more about the successful execution of this complex randomization design from these study results.