Ben, Â.J., van Dongen, J.M., El Alili, M. et al. Conducting Trial-Based Economic Evaluations Using R: A Tutorial. PharmacoEconomics (2023). https://doi.org/10.1007/s40273-023-01301-7
In this project, you will perform a cost-effectiveness analysis using dataset.xlsx, which is a simulated trial consisting of an intervention compared to control treatment with a 12-month follow-up period. dataset. xlsx includes a specific number of subjects randomized to intervention or control groups, their baseline characteristics, and outcomes measured at 4 time points (i.e., 3, 6, 9, and 12 months). Missing variables were introduced into follow-up outcome measures conditionally to age and sex, simulating a Missing At Random (MAR) mechanism.
To run this project follow the steps below:
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Download the workshop material by clicking on Code on the top right -> Download ZIP
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Unzip the file and save it on your computer.
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Open RStudio, click on File -> Open project -> where you have saved the unzipped folder R-Tutorial.Rproj.
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Then open the R-Tutorial.Rproj from the folder assignment (Files window).
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If you don’t have RStudio please download and install it by following the steps from: https://www.rstudio.com/products/rstudio/download/
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Within the project, open CEA.Rmd from the folder R, which can be found in the bottom right window of the RStudio interface.
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Make sure all the R packages are installed (STEP #1 CEA.Rmd). If packages are not installed, RStudio automatically asks whether these packages need to be installed at the top of the script window (top left window). Click install packages.
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Continue by running each code chunk separately at a time by clicking on the green arrow on the top right of each chunk.
This work is licensed under a Creative Commons Attribution 4.0 International License.
