title: The continual reassessment method for multiple toxicity grades: a bayesian model selection approach.
abstract: Grade information has been considered in Yuan et al. (2007) wherein they proposed a Quasi-CRM method to incorporate the grade toxicity information in phase I trials. A potential problem with the Quasi-CRM model is that the choice of skeleton may dramatically vary the performance of the CRM model, which results in similar consequences for the Quasi-CRM model. In this paper, we propose a new model by utilizing bayesian model selection approach--Robust Quasi-CRM model--to tackle the above-mentioned pitfall with the Quasi-CRM model. The Robust Quasi-CRM model literally inherits the BMA-CRM model proposed by Yin and Yuan (2009) to consider a parallel of skeletons for Quasi-CRM. The superior performance of Robust Quasi-CRM model was demonstrated by extensive simulation studies. We conclude that the proposed method can be freely used in real practice.
authors.affiliation: School of Statistics, Xi'an University of Finance and Economics, Xi'an, China.
authors.forename: Haitao
authors.initials: H
authors.lastname: Pan
authors.affiliation: Department of Gastrointestinal Surgery, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi'an, China.
authors.forename: Cailin
authors.initials: C
authors.lastname: Zhu
authors.affiliation: Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Zhang
authors.affiliation: Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
authors.forename: Ying
authors.initials: Y
authors.lastname: Yuan
authors.affiliation: School of Statistics, Xi'an University of Finance and Economics, Xi'an, China.
authors.forename: Shemin
authors.initials: S
authors.lastname: Zhang
authors.affiliation: School of Statistics, Xi'an University of Finance and Economics, Xi'an, China.
authors.forename: Wenhong
authors.initials: W
authors.lastname: Zhang
authors.affiliation: Department of Health Statistics, Fourth Military Medical University, Xi'an, China.
authors.forename: Chanjuan
authors.initials: C
authors.lastname: Li
authors.affiliation: Department of Health Statistics, Fourth Military Medical University, Xi'an, China.
authors.forename: Ling
authors.initials: L
authors.lastname: Wang
authors.affiliation: Department of Health Statistics, Fourth Military Medical University, Xi'an, China.
authors.forename: Jielai
authors.initials: J
authors.lastname: Xia
mesh_terms: D000465:Algorithms; D000970:Antineoplastic Agents / Q000009:adverse effects* / Q000627:therapeutic use; D001499:Bayes Theorem; D017321:Clinical Trials, Phase I as Topic; D003198:Computer Simulation; D006801:Humans; D020714:Maximum Tolerated Dose; D015233:Models, Statistical; D009369:Neoplasms / Q000188:drug therapy
chemical_list: D000970:Antineoplastic Agents