Survival Analysis Part 2: Predicting Time to Event for Lungs Cancer Patients
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Section 1: Problem Statement and Exploratory Analysis
- Determine if a treatment (drug) has an impact on survival rates
- Download Resources
- The Kaplan Meier Estimator
- Survival rates for different treatments
- Log Rank Test to compare Survival rates
- Survival rates for Cell Types
- Self Assessment Questions
Section 2: Multi Variate Survival
- Multivariate Survival Cox-Ph Model
- C-index for evaluating Survival models
- Estimating Predictive power of variables
Section 3: Accelerated Failure Time (AFT) with XGBoost
- Accelerated Failure Time (AFT) based modeling
- Modeling with logit and XGBoost embeddings
- Training XGBoost Embeddings model for Survival Analysis
- Further Reading