Introduction to Survival Analysis
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
Fee: None to members of the Cornell community, but registration is required. Since space is limited, early registration is encouraged.
For times and locations of upcoming workshops, please see the Workshop Schedule.