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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install.packages("escalation")

0.1.4 by Kristian Brock, 3 months ago


Browse source code at https://github.com/cran/escalation


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


Depended on by precautionary.


See at CRAN