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 DOI: 10.32614/CRAN.package.DTEBOP2 Author: Zhongheng Cai [aut, cre], Haitao Pan [aut] Maintainer: Zhongheng Cai <zhonghengcai123 at gmail.com> License: GPL-3 NeedsCompilation: no CRAN checks: DTEBOP2 results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DTEBOP2 to link to this page.
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