4th Online Workshop on Survival Analysis & ROC Analysis

Bi-Weekly Learning Series

This workshop provides a **practical, hands-on approach to Survival Analysis and ROC Analysis**, equipping researchers with the necessary skills to analyze **time-to-event data** and evaluate **diagnostic accuracy.** Participants will learn step-by-step survival techniques like **Kaplan-Meier, Life Table, and Cox Proportional Hazard Model**, followed by **Receiver Operating Characteristic (ROC) analysis** for both diagnostic tests and logistic regression models.

📅 Workshop Schedule:

📌 Week 1 – Survival Analysis:

• Kaplan-Meier Survival Analysis – Estimating survival probabilities.
• Life Table Method – A structured approach to survival probabilities.
• Cox Proportional Hazards Model – Identifying risk factors affecting survival.

📌 Week 2 – ROC Analysis for Model Accuracy:

• ROC Curve for Diagnostic Accuracy – Evaluating test performance.
• ROC Curve for Logistic Regression – Assessing model discrimination ability.
• AUC (Area Under Curve) Interpretation – Measuring model effectiveness.

🎯 Why Join This Workshop?

• 🔹 Gain expertise in **time-to-event survival analysis**.
• 🔹 Learn to **assess diagnostic accuracy** using ROC curves.
• 🔹 Hands-on **implementation with real datasets**.
• 🔹 Expert guidance in **interpreting survival & ROC results**.