Analyzing Survival Data

See how to:

• Understand why survival analysis is useful
• Use medical data to perform survival analysis using Life Distribution and Survival platforms
• Examine Kaplan-Meier estimates and compare survival by grouping variables
• Run parametric survival models to predict survival times based on type of treatment

See how to:

• Create medical parametric survival models and Cox’s Proportional Hazards models
• Compare models, use the Distribution Profiler to predict survival probability and use the Quantile Profiler to identify median survival time

See how to:

• Determine the drivers of customer attrition (churn) and predict the expected customer retention duration

Resources:

• The Statistical Analysis of Failure Time Data, Second Edition by John D. Kalbfleisch, Ross L. Prentice