A hybrid design for dose-finding oncology clinical trials.
Ontology highlight
ABSTRACT: Identifying the maximum tolerated dose (MTD) and recommending a Phase II dose for an investigational treatment is crucial in cancer drug development. A suboptimal dose often leads to a failed late-stage trial, while an overly toxic dose causes harm to patients. There is a very rich literature on trial designs for dose-finding oncology clinical trials. We propose a novel hybrid design that maximizes the merits and minimizes the limitations of the existing designs. Building on two existing dose-finding designs: a model-assisted design (the modified toxicity probability interval) and a dose-toxicity model-based design, a hybrid design of the modified toxicity probability interval design and a dose-toxicity model such as the logistic regression model is proposed, incorporating optimal properti
SUBMITTER: Liao JJZ
PROVIDER: S-EPMC10084431 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA