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CS2: Risk Modeling and Survival Analysis
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Module 4
Non-Parametric Survival Estimation
1
Censoring in Survival Analysis
Identify and handle different censoring types (right, left, interval) in survival data.
2
Kaplan-Meier Survival Analysis
Construct the Kaplan-Meier estimate of the survival function from censored data.
3
Kaplan-Meier Confidence Intervals: Greenwood's Formula
Calculate confidence intervals for the Kaplan-Meier estimate using Greenwood's formula.
4
Nelson-Aalen Estimate of the Cumulative Hazard Function
Construct and compute the Nelson-Aalen estimate of the cumulative hazard function.
5
Log-Rank Test for Comparing Survival Distributions
Perform the log-rank test to compare two or more survival distributions.
6
Likelihood for Censored Survival Data
Formulate the likelihood function for a parametric survival model with censored data.
7
Parametric Survival Models: Estimation and Interpretation
Fit a parametric survival model using maximum likelihood estimation and interpret the estimated parameters.
Previous module
Time-Inhomogeneous Processes and Survival Models
Next module
Proportional Hazards Models