Survival Analysis - Winter 2015


Lecture notes and further reading

  1. Recap: maximum likelihood and Bayesian inference (notes; this is not about survival analysis as such but may serve as a reference)
  2. Basic concepts; likelihood construction under non-informative censoring; piecewise constant hazard model (notes)
Textbooks:

Slides

  1. Wed 7 Jan: Motivation: Poisson regression; basic concepts (slides, updated 9 Mar; corrections on slides 29 and 31)
  2. Wed 14 Jan: Likelihood construction under non-informative censoring; piecewise-constant hazard model (slides, updated 14 Jan; corrections on slides 4, 6, 7 and 12)
  3. Wed 21 Jan: Parametric survival models (please see Blackboard for the material)
  4. Wed 28 Jan: More on proportional hazards models; Cox partial likelihood (slides, updated 5 Feb, 18 Feb; corrections on slides 10, 22, 24)
  5. Wed 4 Feb: Nested case-control studies; conditional logistic regression (slides, updated 18 Feb, corrections on slides 15-18)
  6. Wed 25 Feb: Non-parametric estimators for survival and cumulative hazard functions (slides)
  7. Wed 3 Mar: Cox model diagnostics (slides, updated 9 Mar; corrections on slide 16); model selection
  8. Wed 11 Mar: Time-dependent covariates (slides, R code for Stanford Heart Transplant example, code updated 18 Mar)
  9. Wed 18 Mar: Prognostic modeling (slides, R code, dataset)

Homework assignments

  1. Due January 21 (please see Blackboard for R code)
  2. Due February 4 (please see Blackboard)
  3. Due March 11 (please see Blackboard for R code)
  4. Due March 25

Last updated: 2015-03-25

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