Abstract: Bayesian Adaptive Randomization Design (BARD) is widely used in clinical trials, this design allow to adaptively assign patients to the better treatment. The aim of this study is to compare the potential of Simple Bayesian Adaptive Randomization Design (SBARD) with two common designs (Pocock and O’Brien Flemming), in detecting the effect of treatments. The 5,000 simulations are done to evaluate the performance of SBARD and the two common designs under the same clinical scenarios. The operating characteristics of the SBARD and two common designs are presented. We found that, under scenario 4, the SBARD has greater power (0.938) than the Pocock and O’Brien Flemming designs in detecting the difference between control and treatment arms, using small number of total subjects (116 vs., 292, 600). The SBARD design would be one of the simplest design incorporates with the short term outcomes in clinical trial.