J Biopharm Stat. 2024 Jul 12:1-10. doi: 10.1080/10543406.2024.2374850. Online ahead of print.
ABSTRACT
In this paper, we propose a new Bayesian adaptive design, score-goldilocks design, which has the same algorithmic idea as goldilocks design. The score-goldilocks design leads to a uniform formula for calculating the probability of trial success for different endpoint trials by using the normal approximation. The simulation results show that the score-goldilocks design is not only very similar to the goldilocks design in terms of operating characteristics such as type 1 error, power, average sample size, probability of stop for futility, and probability of early stop for success, but also greatly saves the calculation time and improves the operation efficiency.
PMID:39001557 | DOI:10.1080/10543406.2024.2374850
