Modular Approach to Dose Finding Clinical Trials

Methods for working with dose-finding clinical trials. We provide implementations of many dose-finding clinical trial designs, including the continual reassessment method (CRM) by O'Quigley et al. (1990) , the toxicity probability interval (TPI) design by Ji et al. (2007) , the modified TPI (mTPI) design by Ji et al. (2010) , the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) , EffTox by Thall & Cook (2004) ; the design of Wages & Tait (2015) , and the 3+3 described by Korn et al. (1994) . All designs are implemented with a common interface. We also offer optional additional classes to tailor the behaviour of all designs, including avoiding skipping doses, stopping after n patients have been treated at the recommended dose, stopping when a toxicity condition is met, or demanding that n patients are treated before stopping is allowed. By daisy-chaining together these classes using the pipe operator from 'magrittr', it is simple to tailor the behaviour of a dose-finding design so it behaves how the trialist wants. Having provided a flexible interface for specifying designs, we then provide functions to run simulations and calculate dose-paths for future cohorts of patients.


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0.1.4 by Kristian Brock, a year ago

Browse source code at

Authors: Kristian Brock [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports dplyr, tidyr, tidyselect, stringr, purrr, tibble, gtools, dfcrm, BOIN, trialr, DiagrammeR, RColorBrewer, viridis, binom

Depends on magrittr

Suggests testthat, knitr, rmarkdown, ggplot2, covr

See at CRAN