Monday (Sep 8): Please read articles by Bull et al. ("Tutorial in biostatistics") and Andersen (Competing risks). The links to these articles you can find below.
Bull and Spigelhalter: Tutorial in biostatistics
Andersen: Competing risks as a multi-state model
Andersen and Keiding: Multistate models for event history analysis
Hougaard: Multi-state models: a review
Andersen, P. K., Borgan, O, Gill, R. D., Keiding, N. Statistical Models Based on Counting Processes. Springer-Verlag, (1993).
Kalbfleisch, J. D., and R. L. Prentice. The Statistical Analysis of Failure Time Data. 2nd ed. New York: Wiley, (2002).
Per Kragh Andersen and Niels Keiding. Multi-state models for event history analysis. Statistical Methods in Medical Research 2002; 11: 91-115.
Per Kragh Andersen, Steen Z Abildstrom, Susanne Rosthøj. Competing risks as a multi-state model. Statistical Methods in Medical Research 2002; 11: 203-215.
Exercises
There will be one exercise class every day illustrating event history analysis using R.
Course content
Monday (Sep 1) Introduction to survival and event history analysis. Practical I (Intro to R and basics to survival analysis in R).
Tuesday (Sep 2) Estimation of survival functions and the construction of likelihood functions. Parametric survival distributions. Practical II.
Wednesday (Sep 3) Parametric, semiparametric and nonparametric inference in survival models. Practical III.
Thursday (Sep 4) Model checking, stratified analysis. Practical IV.
Friday (Sep 5) Introduction to course works. Practical V.
Monday (Sep 8) Discussion article I (Choice of time scale,open and closed cohorts etc.).
Discussion article II (Competing risks).
Tuesday (Sep 9) Discussion article III (Event history analysis). More on event history models. Practical VI.
Wednesday (Sep 10) Counting process formulations. Practical VII.
Monday (Sep 15) Special topics (late entry, truncation, cross-sectional sampling etc.). Practical VIII.
Tuesday (Sep 16) Bayesian analysis of survival models. Practical IX.
