Dual-objective Bayesian optimal designs for a dose-ranging study

The American College of Rheumatology Responder Index (ACR index) is commonly used to measure treatment efficacy in rheumatoid arthritis trials. This composite index measures the patients' responses as improved or not improved. We use a logit model to describe the dose-response relationship and construct dual-objective optimal designs using prior information. The specific objectives of our designs are to simultaneously estimate the parameters in the dose-response curve and the minimum dose that reaches clinically meaningful significance.