The Survival Analysis Tool helps users analyze time-to-event data, estimate survival probabilities, and model hazard rates. It is widely used in medical research, reliability engineering, and risk assessment to predict the likelihood of an event occurring over time.

Key Features

✅ Kaplan-Meier Estimation – Computes survival probabilities and plots survival curves.
✅ Cox Proportional Hazards Model – Analyzes the impact of covariates on survival time.
✅ Hazard Function Estimation – Models the risk of an event occurring at different time points.
✅ Graphical Visualization – Displays survival curves, hazard functions, and risk tables.
✅ PDF Report Generation – Export detailed survival analysis reports with statistical insights and charts.

Use Cases

📌 Medical & Clinical Studies – Estimate patient survival rates based on treatments or conditions.
📌 Reliability Engineering – Predict the lifespan of machinery, equipment, and components.
📌 Financial Risk Analysis – Assess credit risk and loan default probabilities over time.
📌 Customer Retention & Churn Analysis – Analyze how long customers stay with a business before leaving.

How It Works

1️⃣ Upload or Enter Time-to-Event Data – Input event times, censoring indicators, and covariates.
2️⃣ Choose Analysis Method – Select Kaplan-Meier, Cox Regression, or Hazard Function Estimation.
3️⃣ Run Analysis – The tool computes survival probabilities, hazard ratios, and statistical significance.
4️⃣ Visualize Results – Generate survival curves and hazard rate graphs for interpretation.
5️⃣ Download PDF Report – Export findings with charts, tables, and key insights.

This tool simplifies survival analysis, making it accessible for researchers, analysts, and decision-makers in various industries. 🚀