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dfpk  

Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for Phase I Clinical Trials
View on CRAN: Click here


Download and install dfpk package within the R console
Install from CRAN:
install.packages("dfpk")

Install from Github:
library("remotes")
install_github("cran/dfpk")

Install by package version:
library("remotes")
install_version("dfpk", "3.5.1")



Attach the package and use:
library("dfpk")
Maintained by
Artemis Toumazi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-10
Latest Update: 2023-05-31
Description:
Statistical methods involving PK measures are provided, in the dose allocation process during a Phase I clinical trials. These methods, proposed by Ursino et al, (2017) , enter pharmacokinetics (PK) in the dose finding designs in different ways, including covariates models, dependent variable or hierarchical models. This package provides functions to generate data from several scenarios and functions to run simulations which their objective is to determine the maximum tolerated dose (MTD).
How to cite:
Artemis Toumazi (2016). dfpk: Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for Phase I Clinical Trials. R package version 3.5.1, https://cran.r-project.org/web/packages/dfpk. Accessed 23 Apr. 2025.
Previous versions and publish date:
1.0 (2016-08-10 10:06), 2.0.0 (2016-12-15 11:03), 2.1.0 (2017-03-11 18:50), 3.0.0 (2017-05-13 12:01), 3.0.1 (2017-05-14 21:38), 3.2.0 (2017-06-07 19:24), 3.3.0 (2017-06-29 15:16), 3.3.1 (2017-06-30 15:28), 3.3.2 (2017-09-28 23:36), 3.4.0 (2017-10-24 17:24), 3.4.1 (2018-03-28 13:29), 3.5.0 (2018-07-29 22:00), 3.5.1 (2018-11-09 16:20)
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