Synthetic reproducibility simulator and generated dataset inspired by "Towards optimally replacing the current version of MELD"
Description
This repository contains a synthetic simulator, source code, generated synthetic data, and documentation inspired by the Letter to the Editor, “Towards optimally replacing the current version of MELD” (Journal of Hepatology, 2023). The goal of this repository is to provide a computational companion that translates the published conceptual and methodological content into an executable form for exploration, reproducibility, and educational use. The repository does not contain the original patient-level clinical data from the publication. Instead, it contains a synthetic simulation environment built from information described in the published letter and related cited sources, together with explicit assumptions where details were not fully specified in the article. The resulting outputs should therefore be interpreted as synthetic, research-oriented artifacts inspired by the publication rather than as a direct recovery of the original study dataset. Included materials may contain: source code for the simulator synthetic datasets generated by the simulator documentation describing assumptions, variables, parameters, scenarios, and outputs figures and tables produced from the synthetic runs The simulator is intended to help readers, researchers, educators, and developers examine how a published methodological idea can be operationalized into executable code and structured synthetic outputs. It may also serve as an example of how narrative scientific publications can be transformed into reusable computational companions. This repository is best understood as a reproducibility-oriented and exploratory resource. It is not a clinical decision tool, not a validated medical product, and not a substitute for the original publication or its underlying data. Users should review the accompanying documentation for details on assumptions, limitations, and interpretation.
Files
Steps to reproduce
Download the repository files, including the simulator source code, documentation, and any example synthetic output data. Review the documentation first. It describes the publication that inspired the simulator, the extracted parameters, the assumed parameters, the modeled variables, and the expected outputs. Set up a Python environment with the required dependencies listed in the documentation or source files. Run the main simulator script using the default configuration to generate a baseline synthetic dataset and output figures. Inspect the generated files, which may include synthetic CSV tables, summary outputs, and visualizations. Compare the generated outputs with the descriptions in the documentation to verify that the simulator ran as expected. Optionally modify key input parameters or scenario settings and rerun the simulator to reproduce alternative synthetic experiments. Use the documentation to interpret which aspects of the simulator were directly derived from the published letter and which were introduced as explicit modeling assumptions. This repository is intended to reproduce the published methodological idea in executable synthetic form. It does not reproduce the original patient-level dataset and should be interpreted as a synthetic computational companion for exploration and reproducibility.