Skip to main content
grasp.study
About
Explore
Pricing
Log in
Try it for free
Back to course
👋
Welcome to a Grasp lesson
Create a free account
to keep studying and create your own study path.
CS2: Risk Modeling and Survival Analysis
·
Module 5
Proportional Hazards Models
1
Introduction to Cox Proportional Hazards Model
Define the Cox proportional hazards model and interpret its regression coefficients.
2
Maximizing Partial Likelihood for Cox Model Parameters
Construct and maximize the partial likelihood to estimate Cox model parameters.
3
Understanding Hazard Ratios and Confidence Intervals in Cox Models
Interpret hazard ratios and their confidence intervals from fitted Cox models.
4
Breslow's Method for Baseline Survival Estimation
Estimate the baseline survival function for a fitted Cox model using Breslow's method.
5
Predicting Survival Probabilities with Cox Models
Predict survival probabilities for specific covariate values using a fitted Cox model.
Residual-Based Diagnostics for Proportional Hazards
Test the proportional hazards assumption using residual-based methods.
7
Choosing Between Cox and Parametric Models
Compare the suitability of a Cox model against a parametric model for a given dataset.
Previous module
Non-Parametric Survival Estimation
Next module
Estimating Mortality Rates from Data