This is the GitHub repository to host the R code used to run the example in the paper
Che, Z., Green, N., & Baio, G. (2023). Blended Survival Curves: A New Approach to Extrapolation for Time-to-Event Outcomes from Clinical Trials in Health Technology Assessment. Medical Decision Making, 43(3), 299-310. doi:10.1177/0272989X221134545
The example dataset is based on the CLL-8 trial data, which were also used in NICE technology appraisal TA174. A detailed report case_study_blend.html in the Scripts folder explains how to perform the blending analysis, step-by-step.
In addition, the corresponding Rmd file is used to manipulate and restructure the information to produce the modelling and all R code from the markdown document are extracted to the script CODE_case_study.R.
The folder contents can be downloaded as a .zip file of the repository.
This can be done either by using the "Clone or download - Download ZIP" button in GitHub or from inside of the R environment using the following code.
download.file(url = "https://github.com/StatisticsHealthEconomics/blendR-paper/archive/main.zip",
destfile = "blendR-paper.zip")
# unzip the .zip file
unzip(zipfile = "blendR-paper.zip")Please open an issue in our issue tracker.