Statistical modeling to adjust for time trends in adaptive platform trials utilizing non-concurrent controls
This is an accompanying repository for the paper “Statistical modeling to adjust for time trends in adaptive platform trials utilizing non-concurrent controls’’ by Pavla Krotka, Martin Posch, Mohamed Gewily, Günter Höglinger, and Marta Bofill Roig. It contains the code to reproduce all simulations and figures, as well as the case study presented in the paper.
The repository is structured as follows:
-
Folder simulations:
- NCC_FreqModels_simscript.R: This script contains the code to reproduce all simulations included in the paper. The results for the individual scenarios are then saved in the subfolder results.
- NCC_FreqModels_figures.Rmd: This file contains the code to create all figures presented in the paper (Section 4) and the supplementary material (Section C). The figures are saved in the subfolder figures in a .pdf and .png formats.
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Folder case_study:
- NCC_FreqModels_case_study.Rmd: This file includes the code used for illustrating the use of the methods from the paper on the data from the ABBV-8E12 trial, as shown in Section 5. It also contains the code to reproduce Figure 11, which is saved in the subfolder figures. For data privacy reasons the dataset used for the illustration could not be uploaded.
The version of the NCC R-package
that was used for the simulation study is included in this repository.
This version is labeled as Release 1.2 on GitHub and can be installed by running the following code:
# install.packages("devtools")
devtools::install_github("pavlakrotka/NCC@v1.2", force = TRUE, build_vignettes = TRUE)Funding
This research was funded in whole or in part by the Austrian Science Fund (FWF) [ESP 442 ESPRIT-Programm].
P.K., M.P., M.G., and G.H. received funding from the European Joint Programme on Rare Diseases (Improve-PSP).