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ToxCrit
View on CRAN: Click
here
Download and install ToxCrit package within the R console
Install from CRAN:
install.packages("ToxCrit")
Install from Github:
library("remotes")
install_github("cran/ToxCrit") Install by package version:
library("remotes")
install_version("ToxCrit", "1.0") Attach the package and use:
library("ToxCrit")
Maintained by
Lisa-Marie Lanz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-01
Latest Update: 2021-10-01
Description:
Computation of stopping boundaries for a single-arm trial using a Bayesian criterion; i.e., for each m<=n (n= total patient number of the trial) the smallest number of observed toxicities is calculated leading to the termination of the trial/accrual according to the specified criteria. The probabilities of stopping the trial/accrual at and up until (resp.) the m-th patient (m<=n) is also calculated. This design is more conservative than the frequentist approach (using Clopper Pearson CIs) which might be preferred as it concerns safety.See also Aamot et.al.(2010) "Continuous monitoring of toxicity in clinical trials - simulating the risk of stopping prematurely" <doi:10.5414/cpp48476>.
How to cite:
Lisa-Marie Lanz (2021). ToxCrit: Calculates Safety Stopping Boundaries for a Single-Arm Trial using Bayes. R package version 1.0, https://cran.r-project.org/web/packages/ToxCrit. Accessed 08 Mar. 2026.
Previous versions and publish date:
1.0 (2021-10-01 10:20)
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Complete documentation for ToxCrit
Functions, R codes and Examples using
the ToxCrit R package
Some associated functions: ToxCrit .
Some associated R codes: ToxCrit.R . Full ToxCrit package functions and examples
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