escalation: 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: 0.1.4
Depends: magrittr
Imports: dplyr, tidyr (≥ 1.0), tidyselect, stringr, purrr, tibble, gtools, dfcrm, BOIN, trialr (≥ 0.1.5), DiagrammeR, RColorBrewer, viridis, binom
Suggests: testthat, knitr, rmarkdown, ggplot2, covr
Published: 2020-10-18
Author: Kristian Brock ORCID iD [aut, cre]
Maintainer: Kristian Brock <kristian.brock at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: escalation results

Downloads:

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
Package source: escalation_0.1.4.tar.gz
Windows binaries: r-devel: escalation_0.1.3.zip, r-release: escalation_0.1.3.zip, r-oldrel: escalation_0.1.3.zip
macOS binaries: r-release: escalation_0.1.3.tgz, r-oldrel: escalation_0.1.4.tgz
Old sources: escalation archive

Reverse dependencies:

Reverse depends: precautionary

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