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WCRBayesDesign  

Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WCRBayesDesign", "1.0.1")



Attach the package and use:
library("WCRBayesDesign")
Maintained by
Zhongheng Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-10
Latest Update: 2026-04-10
Description:
Calibrates Bayesian two-stage designs for single-arm phase II trials with time-to-event endpoints using a window-cohort with controlled roll-on. Interim monitoring is anchored to a locked interim cohort and a pre-specified follow-up requirement, so analysis timing remains predictable while preserving follow-up maturity. The package searches feasible interim rules, optimizes final sample size and decision thresholds, evaluates operating characteristics by Monte Carlo simulation, and supports exponential, Weibull, log-normal, log-logistic, and user-defined baseline survival models. Related published foundations include Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Cotterill and Whitehead (2015) <doi:10.1002/sim.6426>.
How to cite:
Zhongheng Cai (2026). WCRBayesDesign: Bayesian Two-Stage Design with Window-Cohort and Controlled Roll-on for Time-to-Event Estimand. R package version 1.0.1, https://cran.r-project.org/web/packages/WCRBayesDesign. Accessed 24 Oct. 2026.
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