Ph.d. course in "Survival and event history analysis" Oct.-Nov. 2004

Course material can be found here:

Plan of part 1 of the course.

PKA's lecture 4 October: Introduction etc.

ØB's first lecture 5 October: The Kaplan-Meier estimator.

ØB's second lecture 5 October: Non-parametric tests.

ØB's lecture 5-6 October: Parametric models, introduction to regression.

PKA's lecture 6 October: The Cox regression model.

Theoretical and computer exercises for 4-6 October and 2-3 November.

R code for performing logrank tests for trend.

Solutions to computer exercises: day 2.

Solutions to computer exercises: day 3 and 5.

The data set freireich.dat

The data set melanom.dat

The data set csl.dat

The data set fyn.dat

The data set fyn-table.dat

Plan of part 2 of the course.

TS's lecture 1 November: Goodness of fit for Cox's regression model.

TM's lecture 1 November: Additive models etc.

Exercise for 1 November.

Solutions for exercise 1 November.

The data set csl-pro.dat

The data set mantel-f.dat

Documentation for the addreg function in R.

Documentation for the addregmc function in R.

NK's lecture 2 November: The Aalen-Johansen estimator.

Solutions to computer exercises: day 5 and 6.

PKA's lecture 2-3 November: Multi-state regression models.

PKA's lecture 3 November: Cohort sampling.

Take home course project.

The data set nshnefro.dat