escalation: A 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) <doi:10.2307/2531628>, the toxicity probability interval (TPI) design by Ji et al. (2007) <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design by Ji et al. (2010) <doi:10.1177/1740774510382799>, the Bayesian optimal interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, EffTox by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the design of Wages & Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3 described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. 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.

Version:	0.1.8
Depends:	magrittr
Imports:	dplyr, tidyr (≥ 1.0), tidyselect, stringr, purrr, tibble, ggplot2, gtools, dfcrm, BOIN, trialr (≥ 0.1.5), DiagrammeR, RColorBrewer, viridis, binom, R6, mvtnorm
Suggests:	testthat, knitr, rmarkdown, covr
Published:	2024-02-23
Author:	Kristian Brock [aut, cre], Daniel Slade [aut], Michael Sweeting [aut]
Maintainer:	Kristian Brock <kristian.brock at gmail.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	escalation results

Documentation:

Reference manual:	escalation.pdf
Vignettes:	Using escalation Continual Reassessment Method Neuenschwander, Branson & Gsponer Toxicity Probability Interval Design Modified Toxicity Probability Interval Design Bayesian Optimal Interval Design Working with dose-paths Simulating dose-escalation trials Comparing dose-escalation designs by simulation

Downloads:

Package source:	escalation_0.1.8.tar.gz
Windows binaries:	r-devel: escalation_0.1.8.zip, r-release: escalation_0.1.8.zip, r-oldrel: escalation_0.1.8.zip
macOS binaries:	r-release (arm64): escalation_0.1.8.tgz, r-oldrel (arm64): escalation_0.1.8.tgz, r-release (x86_64): escalation_0.1.8.tgz, r-oldrel (x86_64): escalation_0.1.8.tgz
Old sources:	escalation archive

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