WCRBayesDesign: Bayesian Two-Stage Design with Window-Cohort and Controlled
Roll-on for Time-to-Event Estimand
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>.
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