Literature DB >> 31304864

The i3+3 design for phase I clinical trials.

Meizi Liu1, Sue-Jane Wang2, Yuan Ji1.   

Abstract

The traditional rule-based design, 3 + 3, has been shown to be less likely to achieve the objectives of dose-finding trials when compared with model-based designs. We propose a new rule-based design called i3 + 3, which is based on simple but more advanced rules that account for the variabilities in the observed data. We compare the operating characteristics for the proposed i3 + 3 design with other popular phase I designs by simulation. The i3 + 3 design is far superior than the 3 + 3 design in trial safety and the ability to identify the true MTD. Compared with model-based phase I designs, i3 + 3 also demonstrates comparable performances.

Entities:  

Keywords:  3+3; dose finding design; model-based design; rule-based design; toxicity

Mesh:

Substances:

Year:  2019        PMID: 31304864     DOI: 10.1080/10543406.2019.1636811

Source DB:  PubMed          Journal:  J Biopharm Stat        ISSN: 1054-3406            Impact factor:   1.051


  3 in total

1.  Bayesian Sample Size Planning Tool for Phase I Dose-Finding Trials.

Authors:  Xiaolei Lin; Jiaying Lyu; Shijie Yuan; Dehua Bi; Sue-Jane Wang; Yuan Ji
Journal:  JCO Precis Oncol       Date:  2022-08

2.  A dose-finding design for phase I clinical trials based on Bayesian stochastic approximation.

Authors:  Jin Xu; Dapeng Zhang; Rongji Mu
Journal:  BMC Med Res Methodol       Date:  2022-10-01       Impact factor: 4.612

3.  2D (2 Dimensional) TEQR design for Determining the optimal Dose for safety and efficacy.

Authors:  Revathi Ananthakrishnan; Stephanie Green; Daniel Li; Michael LaValley
Journal:  Contemp Clin Trials Commun       Date:  2019-10-12
  3 in total

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