An R package UnifiedDoseFinding for continuous and ordinal outcomes in Phase I dose-finding trials

被引:0
|
作者
Pan, Haitao [1 ]
Mu, Rongji [2 ]
Hsu, Chia-Wei [1 ]
Zhou, Shouhao [3 ]
机构
[1] St Jude Childrens Res Hosp, Dept Biostat, Memphis, TN 38105 USA
[2] Shanghai Jiao Tong Univ, Clin Res Ctr, Sch Med, Shanghai, Peoples R China
[3] Penn State Univ, Dept Publ Hlth Sci, Coll Med, State Coll, PA USA
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Phase I dose-finding; toxicity grades; quasi-likelihood; continual reassessment method Bayesian optimal interval design; REASSESSMENT METHOD; TOXICITY; DESIGN;
D O I
10.29220/CSAM.2022.29.4.421
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Phase I dose-finding trials are essential in drug development. By finding the maximum tolerated dose (MTD) of a new drug or treatment, a Phase I trial establishes the recommended doses for later-phase testing. The primary toxicity endpoint of interest is often a binary variable, which describes an event of a patient who experiences dose-limiting toxicity. However, there is a growing interest in dose-finding studies regarding non-binary outcomes, defined by either the weighted sum of rates of various toxicity grades or a continuous outcome. Although several novel methods have been proposed in the literature, accessible software is still lacking to implement these methods. This study introduces a newly developed R package, UnifiedDoseFinding, which implements three phase I dose-finding methods with non-binary outcomes (Quasi- and Robust Quasi-CRM designs by Yuan et al. (2007) and Pan et al. (2014), gBOIN design by Mu et al. (2019), and by a method by Ivanova and Kim (2009)). For each of the methods, Uni fiedDoseFinding provides corresponding functions that begin with next_ that determines the dose for the next cohort of patients, select_ which selects the MTD defined by the non-binary toxicity endpoint when the trial is completed, and get _oc, which obtains the operating characteristics. Three real examples are provided to help practitioners use these methods. The R package Uni fiedDoseFinding, which is accessible in R CRAN, provides a user-friendly tool to facilitate the implementation of innovative dose-finding studies with nonbinary outcomes.
引用
收藏
页码:421 / 439
页数:19
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