TITEgBOIN
Time-to-Event Dose-Finding Design for Multiple Toxicity Grades
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.
- Version0.3.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release12/01/2023
Team
Jing Zhu
Jun Zhang
Show author detailsRolesAuthorKentaro Takeda
Show author detailsRolesAuthor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN