Survival Analysis - Winter 2016


Further reading

Textbooks:

Lectures

  1. Jan 13: Motivation; Poisson regression; basic concepts (OS)
  2. Jan 20: Likelihood construction under independent and non-informative censoring; piecewise constant hazard model (OS)
  3. Jan 27: Non-parametric estimators for survival and cumulative hazard functions; comparing survival curves (OS)
  4. Feb 3: Parametric survival models (SG)
  5. Feb 10: More on proportional hazards models; Cox partial likelihood; Midterm review (OS)
  6. Feb 17: Reading week: no class
  7. Feb 24: Midterm exam
  8. Mar 2: Diagnostics for the Cox model (OS); Model development (SG)
  9. Mar 9: Midterm feedback session (KS)
  10. Mar 16: Time-dependent covariates (OS)
  11. Mar 23: Prognostic modeling and model validation (OS)
  12. Mar 30: Nested case-control studies; conditional logistic regression (OS)
  13. Apr 6: Final review (OS)

Homework assignments

  1. Assigned Jan 20, due Feb 3 (5% weight)
  2. Assigned Feb 3, due Feb 24 (5% weight)
  3. To be assigned Mar 16, due Apr 6 (10% weight)

Last updated: 2016-03-08

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