Reproducible scripts for sepsis antibiotic timing trial using MIMIC‑IV
The project provides a full set of SQL, R, Python and JavaScript scripts to extract, clean, impute, and analyze MIMIC‑IV and eICU data for a target‑trial emulation of antibiotic timing in sepsis. By bundling the analysis pipeline and aggregate results, it lets researchers reproduce the published findings without sharing restricted patient data. It is aimed at clinical researchers and data scientists working with intensive‑care datasets who need a vetted, end‑to‑end workflow. Compared to ad‑hoc notebooks, this repository offers organized, version‑controlled code and documentation for rigorous reproducibility.
View on GitHub →shuaiwang619-bot/sepsis-antibiotic-timing-tte