Topic: Software and Applied Examples

Estimating Adjusted Cumulative Incidence with Cause-Specific Cox Models

Estimating State Occupancy with Aalen-Johansen

Diagnosing Recurrent-Event Model Sensitivity to Time Scale

Diagnosing Calibration of Competing-Risk Predictions

Diagnosing Cause-Specific Cox Fits with Schoenfeld Residuals

Comparing Cause-Specific and Fine-Gray Risk Predictions

Choosing Stratified or Separate Transition Models

Checking Fine-Gray Fits with Residuals and Time Interactions

Checking Multi-State Predictions Against Observed Occupancy

Building a Competing-Risk Analysis Dataset in R