2019/06/29 by Kristian Brock, Brock, Kristian
Biochemistry, Genetics and Molecular Biology · Mathematics · #97K80 #Applications (stat.AP) #Cancer Genomics and Diagnostics #Computation (stat.CO) #FOS: Computer and information sciences #Mathematical Biology Tumor Growth #Methodology (stat.ME) #Statistical Methods in Clinical Trials
paper · pdf · doi:10.48550/arxiv.1907.00161
openalex publication_date 2019/06/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This manuscript introduces an \proglangR package called \pkgtrialr that implements a collection of clinical trial methods in \proglangStan and \proglangR. In this article, we explore three methods in detail. The first is the continual reassessment method for conducting phase I dose-finding trials that seek a maximum tolerable dose. The second is EffTox, a dose-finding design that scrutinises doses by joint efficacy and toxicity outcomes. The third is the augmented binary method for modelling the probability of treatment success in phase II oncology trials with reference to repeated measures of continuous tumour size and binary indicators of treatment failure. We emphasise in this article the benefits that stem from having access to posterior samples, including flexible inference and powerful visualisation. We hope that this package encourages the use of Bayesian methods in clinical trials.