# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PoPdesign" in publications use:' type: software license: GPL-2.0-only title: 'PoPdesign: Posterior Predictive (PoP) Design for Phase I Clinical Trials' version: 1.1.0 identifiers: - type: doi value: 10.32614/CRAN.package.PoPdesign abstract: The primary goal of phase I clinical trials is to find the maximum tolerated dose (MTD). To reach this objective, we introduce a new design for phase I clinical trials, the posterior predictive (PoP) design. The PoP design is an innovative model-assisted design that is as simply as the conventional algorithmic designs as its decision rules can be pre-tabulated prior to the onset of trial, but is of more flexibility of selecting diverse target toxicity rates and cohort sizes. The PoP design has desirable properties, such as coherence and consistency. Moreover, the PoP design provides better empirical performance than the BOIN and Keyboard design with respect to high average probabilities of choosing the MTD and slightly lower risk of treating patients at subtherapeutic or overly toxic doses. authors: - family-names: Fu given-names: Chenqi - family-names: Fang given-names: Xinying email: xf.research@outlook.com - family-names: Zhou given-names: Shouhao preferred-citation: type: article title: Posterior predictive design for phase I clinical trials. authors: - family-names: Fu given-names: Chenqi - family-names: Zhou given-names: Shouhao email: shouhao.zhou@psu.edu journal: Manuscript in preparation year: '2020' repository: https://CRAN.R-project.org/package=PoPdesign date-released: '2024-06-30' contact: - family-names: Fang given-names: Xinying email: xf.research@outlook.com