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ClinTrialPredict
View on CRAN: Click
here
Download and install ClinTrialPredict package within the R console
Install from CRAN:
install.packages("ClinTrialPredict")
Install from Github:
library("remotes")
install_github("cran/ClinTrialPredict")
Install by package version:
library("remotes")
install_version("ClinTrialPredict", "0.0.4")
Attach the package and use:
library("ClinTrialPredict")
Maintained by
Yang Ding
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ClinTrialPredict . ClinTrialPredict results . ClinTrialPredict.pdf . ClinTrialPredict_0.0.4.tar.gz . ClinTrialPredict_0.0.4.zip . ClinTrialPredict_0.0.4.zip . ClinTrialPredict_0.0.4.zip . ClinTrialPredict_0.0.4.tgz . ClinTrialPredict_0.0.4.tgz . ClinTrialPredict_0.0.4.tgz . ClinTrialPredict_0.0.4.tgz . ClinTrialPredict_0.0.4.tgz . ClinTrialPredict_0.0.4.tgz . https://CRAN.R-project.org/package=ClinTrialPredict .
First Published: 2024-11-25
Latest Update: 2024-11-25
Description:
Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.
How to cite:
Yang Ding (2024). ClinTrialPredict: Predicting and Simulating Clinical Trial with Time-to-Event Endpoint. R package version 0.0.4, https://cran.r-project.org/web/packages/ClinTrialPredict. Accessed 21 Feb. 2025.
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