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TITEgBOIN  

Time-to-Event Dose-Finding Design for Multiple Toxicity Grades
View on CRAN: Click here


Download and install TITEgBOIN package within the R console
Install from CRAN:
install.packages("TITEgBOIN")

Install from Github:
library("remotes")
install_github("cran/TITEgBOIN")

Install by package version:
library("remotes")
install_version("TITEgBOIN", "0.4.0")



Attach the package and use:
library("TITEgBOIN")
Maintained by
Jing Zhu
[Scholar Profile | Author Map]
First Published: 2023-07-17
Latest Update: 2023-12-01
Description:
In some phase I trials, the design goal is to find the dose associated with a certain target toxicity rate or the dose with a certain weighted sum of rates of various toxicity grades. 'TITEgBOIN' provides the set up and calculations needed to run a dose-finding trial using bayesian optimal interval (BOIN) (Yuan et al. (2016) <doi:10.1158/1078-0432.CCR-16-0592>), generalized bayesian optimal interval (gBOIN) (Mu et al. (2019) <doi:10.1111/rssc.12263>), time-to-event bayesian optimal interval (TITEBOIN) (Lin et al. (2020) <doi:10.1093/biostatistics/kxz007>) and time-to-event generalized bayesian optimal interval (TITEgBOIN) (Takeda et al. (2022) <doi:10.1002/pst.2182>) designs. 'TITEgBOIN' can conduct tasks: run simulations and get operating characteristics; determine the dose for the next cohort; select maximum tolerated dose (MTD). These functions allow customization of design characteristics to vary sample size, cohort sizes, target dose limiting toxicity (DLT) rates or target normalized equivalent toxicity score (ETS) rates to account for discrete toxicity score, and incorporate safety and/or stopping rules.
How to cite:
Jing Zhu (2023). TITEgBOIN: Time-to-Event Dose-Finding Design for Multiple Toxicity Grades. R package version 0.4.0, https://cran.r-project.org/web/packages/TITEgBOIN. Accessed 08 Apr. 2025.
Previous versions and publish date:
0.3.0 (2023-12-01 14:30)
Other packages that cited TITEgBOIN R package
View TITEgBOIN citation profile
Other R packages that TITEgBOIN depends, imports, suggests or enhances
Complete documentation for TITEgBOIN
Functions, R codes and Examples using the TITEgBOIN R package
Full TITEgBOIN package functions and examples
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