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) <doi:10.1002/bimj.201600084>, 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).
|Author||Artemis 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]|
|Maintainer||Artemis Toumazi <firstname.lastname@example.org>|
|License||GPL (>= 3) | file LICENSE|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.