Skip to content

Examples Gallery

Welcome to the RAPID Examples Gallery. Here you'll find Jupyter notebooks demonstrating real-world applications of the RAPID methodology.

Each example includes: - Data loading and preprocessing - Model initialization and fitting - Results interpretation - Diagnostic plots

Available Examples

Example Description Download View Run Online
Logistic Regression Binary outcome prediction (mortality, readmission) .ipynb View Colab
GLM Generalized Linear Models with different families .ipynb View Colab
Survival Analysis Time-to-event analysis with Cox PH .ipynb View Colab
MICE Imputation Multiple imputation for missing data .ipynb View Colab

Quick Start with Examples

Option 1: Run Locally

# Clone the repository
git clone https://github.com/noispuc/isaric3.0-rapid.git
cd rapid-pipeline

# Install RAPID
pip install -e .

# Launch Jupyter
jupyter notebook docs/examples/

Option 2: Run on Google Colab

Click the Colab badge above to open any notebook directly in Google Colab. Then run:

!pip install git+https://github.com/noispuc/isaric3.0-rapid.git

Option 3: View Static Rendering

Click View to see the notebook rendered directly in your browser (no execution).

Questions?