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.
This includes a shift in what is required from the early phase studies designed to establish the recommended dose of new agents
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.