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PoPdesign
View on CRAN: Click
here
Download and install PoPdesign package within the R console
Install from CRAN:
install.packages("PoPdesign")
Install from Github:
library("remotes")
install_github("cran/PoPdesign")
Install by package version:
library("remotes")
install_version("PoPdesign", "1.0.4")
Attach the package and use:
library("PoPdesign")
Maintained by
Xinying Fang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-12-08
Latest Update: 2022-10-02
Description:
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.
How to cite:
Xinying Fang (2021). PoPdesign: Posterior Predictive (PoP) Design for Phase I Clinical Trials. R package version 1.0.4, https://cran.r-project.org/web/packages/PoPdesign
Previous versions and publish date:
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Other R packages that PoPdesign depends,
imports, suggests or enhances
Functions, R codes and Examples using
the PoPdesign R package
Some associated functions: get.boundary.pop . get.oc.pop . plot.pop . print.pop . select.mtd.pop . summary.pop .
Some associated R codes: bound.R . get.boundary.pop.R . get.oc.pop.R . plot.pop.R . prbf01.R . print.pop.R . select.mtd.pop.R . summary.pop.R . Full PoPdesign package functions and examples
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