In survival analysis, subjects are usually followed over a specified time period and the focus is on the time at which an event of interest occurs. Why not use linear regression to model the survival time as a function of a set of predictor variables? Ordinary linear regression cannot effectively handle the censoring of observations. Survival methods correctly incorporate information from both censored and uncensored observations in the analysis.
This is a workshop to introduce survival analysis methods. Some of the topics include:
- Organizing survival data for computer use
- Censoring of observations
- Estimation and comparison survival curves with the Kaplan-Meier method
- Introduction of the Cox Proportional Hazard model