CUI-MET picks the optimal dose by maximizing a weighted average of several endpoint response probabilities, estimated from observed data or simple dose-response models, with bootstrap uncertainty.
We introduce the clinical utility index dose optimization approach for multiple-dose randomized trial designs (CUI-MET)
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CUI-MET: Clinical Utility Index Dose Optimization Approach for Multiple-Dose, Multiple-Outcome Randomized Trial Designs
CUI-MET picks the optimal dose by maximizing a weighted average of several endpoint response probabilities, estimated from observed data or simple dose-response models, with bootstrap uncertainty.