BOIN design
toxicity
The BOIN (Bayesian optimal interval) design is a Bayesian model-assisted phase I dose-finding design proposed by Liu and Yuan Y (2015). The design is simple and flexible and performs comparably to model-based designs [if if otherwise, i.e., The trial continues until the prespecified sample size is exhausted or the trial is stopped due to excessive toxicity.The boundary designation algorithm for the BOIN design aims to minimize incorrect decisions on dose assignment. It makes three assumptions:where Under the Bayesian model, the three hypotheses are given equal prior probabilities, denoted as The BOIN design is easy to implement and has comparable performance to that of existing one-dimensional phase I dose-finding design [