DTEBOP2: Bayesian Optimal Phase II Randomized Clinical Trial Design with
Delayed Outcomes
Implements a Bayesian Optimal Phase II design (DTE-BOP2) for trials with delayed treatment effects, particularly relevant to immunotherapy studies where treatment benefits may emerge after a delay. The method builds upon the BOP2 framework and incorporates uncertainty in the delay timepoint through a truncated gamma prior, informed by expert knowledge or default settings. Supports two-arm trial designs with functionality for sample size determination, interim and final analyses, and comprehensive simulation under various delay and design scenarios. Ensures rigorous type I and II error control while improving trial efficiency and power when the delay effect is present. A manuscript describing the methodology is under development and will be formally referenced upon publication.
| Version: |
1.0.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
truncdist, doParallel, foreach, parallel, invgamma |
| Suggests: |
knitr, rmarkdown, survRM2adapt, ggplot2, reconstructKM, survival, survminer |
| Published: |
2025-05-09 |
| Author: |
Zhongheng Cai [aut, cre],
Haitao Pan [aut] |
| Maintainer: |
Zhongheng Cai <zhonghengcai123 at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
DTEBOP2 results |
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