Survival Analysis Part 2: Predicting Time to Event for Lungs Cancer Patients

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Section 1: Problem Statement and Exploratory Analysis

  1. Determine if a treatment (drug) has an impact on survival rates
  2. Download Resources
  3. The Kaplan Meier Estimator
  4. Survival rates for different treatments
  5. Log Rank Test to compare Survival rates
  6. Survival rates for Cell Types
  7. Self Assessment Questions

Section 2: Multi Variate Survival

  1. Multivariate Survival Cox-Ph Model
  2. C-index for evaluating Survival models
  3. Estimating Predictive power of variables

Section 3: Accelerated Failure Time (AFT) with XGBoost

  1. Accelerated Failure Time (AFT) based modeling
  2. Modeling with logit and XGBoost embeddings
  3. Training XGBoost Embeddings model for Survival Analysis
  4. Further Reading
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