Package: PoPdesign 1.1.0

Xinying Fang

PoPdesign: Posterior Predictive (PoP) Design for Phase I Clinical Trials

The primary goal of phase I clinical trials is to find the maximum tolerated dose (MTD). To reach this objective, we introduce a new design for phase I clinical trials, the posterior predictive (PoP) design. The PoP design is an innovative model-assisted design that is as simply as the conventional algorithmic designs as its decision rules can be pre-tabulated prior to the onset of trial, but is of more flexibility of selecting diverse target toxicity rates and cohort sizes. The PoP design has desirable properties, such as coherence and consistency. Moreover, the PoP design provides better empirical performance than the BOIN and Keyboard design with respect to high average probabilities of choosing the MTD and slightly lower risk of treating patients at subtherapeutic or overly toxic doses.

Authors:Chenqi Fu [aut], Xinying Fang [aut, cre], Shouhao Zhou [aut]

PoPdesign_1.1.0.tar.gz
PoPdesign_1.1.0.tar.gz(r-4.5-noble)PoPdesign_1.1.0.tar.gz(r-4.4-noble)
PoPdesign_1.1.0.tgz(r-4.4-emscripten)PoPdesign_1.1.0.tgz(r-4.3-emscripten)
PoPdesign.pdf |PoPdesign.html
PoPdesign/json (API)

# Install 'PoPdesign' in R:
install.packages('PoPdesign', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.00 score 4 scripts 238 downloads 3 exports 10 dependencies

Last updated 5 months agofrom:a8c04a5a4b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-linuxOKOct 29 2024

Exports:get.boundary.popget.oc.popselect.mtd.pop

Dependencies:curlevaluatehighrIsoknitrmagickmagrittrRcppxfunyaml

PoP Design

Rendered fromvignette_for_PoP_design.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2024-07-01
Started: 2021-12-08