Conclusions
toxicity
REGRESSION
In this article, we re-examined the dose-finding problem, delving into its foundational aspects and utilizing continuous outcomes. We presented a comprehensive dose-finding analysis using our modeling framework and introduced the novel 3PND dose-finding algorithm. This algorithm, which estimates the non-linearity parameter through a fully Bayesian approach, benefits from a modern sampling technique that enhances the efficiency of posterior computation (refer to the Our modeling framework is not only applicable to determining the MTD for cytotoxic agents in first-in-human studies but also proficient in identifying optimal doses for non-cytotoxic agents and animal studies. This adaptability stems from its foundation in the regression framework.One specific context where our modeling framework finds relevance is in the domain of molecularly targeted agents. Advances in these agents, characterized by minimal or no toxicity within the therapeutic dose range, have spurred investigations into optimal phase I trial designs [Another pertinent application lies in pre-clinical studies, particularly those involving repeated doses in individual patients [