dfpk: Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for Phase I Clinical Trials
Version 3.4.1

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).

Package details

AuthorArtemis Toumazi [cre, aut], Sarah Zohar [aut], Moreno Ursino [aut], Trustees of Columbia University [cph] (R/stanmodels.R), French National Institute of Health and Medical Research [cph]
Date of publication2018-03-28 11:29:36 UTC
MaintainerArtemis Toumazi <[email protected]>
LicenseGPL (>= 3) | file LICENSE
Version3.4.1
URL http://github.com/artemis-toumazi/dfpk
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("dfpk")

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dfpk documentation built on April 1, 2018, 12:14 p.m.