This project simulates a simplified clinical data workflow inspired by CDISC SDTM standards. It demonstrates how raw clinical-like data can be transformed, validated, and analyzed in a reproducible pipeline.
- SDTM-like domain mapping (DM, AE)
- Data quality control (QC) checks
- Safety analysis (adverse events by treatment)
- Data visualization (ggplot2)
- Optional interactive Shiny dashboard
- Clinical data understanding
- SDTM structure awareness
- Data cleaning and transformation
- Statistical analysis and reporting
- Reproducible workflows in R
- AE summary tables
- Visualization of adverse events
- QC validation logs
This is a simplified educational implementation and not a fully CDISC-compliant dataset.
This project is licensed under the MIT License.
Sergio Fernández