Sponsored by the Chicago Chapter Of the American Statistical Association (http://www.chicagoasa.org/).

Early bird registration deadline 1 March 2008.

Course Summary

The course does not assume prior knowledge of survival analysis techniques, but familiarity with either linear or logistic regression is assumed. Mathematical details are kept to a minimum. Approaches will be illustrated with examples from health-related studies.

• Introduction to survival analysis
  • Survival analysis data
  • Descriptive methods
  • Comparison of survival functions
• Regression modeling of survival data
  • Fitting the Cox proportional hazards model
  • Interpretation of the fitted model
  • Model building strategies
  • Assessing model adequacy
• Extensions of the proportional hazards model
  • Stratified proportional hazards model
  • Time-varying covariates
• Other topics
  • Frailty models
  • Sample size and power

The fee includes extensive materials and a copy of the book "Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd ed.," breakfast items, lunch, and refreshments for AM and PM breaks. Space is limited. To ensure yourself a place, please register early.

Questions? Contact Tony Babinec, VP Workshops (tbabinec@sbcglobal.net).

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Instructor Biography