Simulation of Cohort Platform Trials for Combination Treatments

A collection of functions dedicated to simulating staggered entry platform trials whereby the treatment under investigation is a combination of two active compounds. In order to obtain approval for this combination therapy, superiority of the combination over the two active compounds and superiority of the two active compounds over placebo need to be demonstrated. A more detailed description of the design can be found in Meyer et al. and a manual in Meyer et al. .


CohortPlat

The goal of CohortPlat is to facilitate the simulation of cohort platform trials for combination treatments with binary endpoints.

Installation

You can install the released version of CohortPlat from CRAN with:

install.packages("CohortPlat")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("el-meyer/CohortPlat")

Usage

Please see the reference manual for more information on the usage of this package, or jump directly to the vignette.

Disclaimer

EU-PEARL (EU Patient-cEntric clinicAl tRial pLatforms) project has received funding from the Innovative Medicines Initiative (IMI) 2 Joint Undertaking (JU) under grant agreement No 853966. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation program and EFPIA and Children’s Tumor Foundation, Global Alliance for TB Drug Development non-profit organization, Springworks Therapeutics Inc. This publication reflects the authors’ views. Neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein. The research of Elias Laurin Meyer was funded until 11/2020 by Novartis through the University and not at an individual level.

Reference manual

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install.packages("CohortPlat")

1.0.5 by Elias Laurin Meyer, 5 years ago


Browse source code at https://github.com/cran/CohortPlat


Authors: Elias Laurin Meyer [aut, cre] , Peter Mesenbrink [ctb] , Cornelia Dunger-Baldauf [ctb] , Ekkehard Glimm [ctb] , Franz Koenig [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, purrr, ggplot2, plotly, tidyr, parallel, doParallel, foreach, openxlsx, forcats, epitools, zoo

Suggests knitr, rmarkdown, DT, gtools


See at CRAN