Below are an overview of the material that has been covered in the course so far and plans for the coming lectures. Section numbers, etc refer to the book by Aalen, Borgan, and Gjessing. Changes to the plan are likely.
The lectures so far
Week 4: Introduction to the course, Chapter 1.1 on Monday. Sections 1.2, 1.4.1, 1.4.2 on Friday. (Sections 1.4.3 and 1.5 will be covered later). Slides for Lecture 1. We also looked at a little R-script.
Week 5: Counting processes, martingales and other stochastic processes Sections 2.1, 2.2 (2.2.1-2.2.6) and 3.1 (3.1.1, 3.1.2, 3.1.5). Application to survival data and the Nelson-Aalen estimator.
Week 6: More on counting processes and martingales. Section 2.3.1, 2.3.2, 3.1.6, 3.2. Application to Nelson-Aalen and Kaplan-Meier estimator.
Week 7: Remaining issues for Nelson-Aalen and Kaplan-Meier (smoothing, percentiles, excess mortality, ties 3.1-3.2). Intro Nonparametric tests.
Week 8: Tuesday: Nonparametric tests. Section 3.3 (except 3.3.4 and 3.3.5). Thursday: Multistate models, Section 3.4.
Week 9: Relative risk regression. The introductions to Chapter 4 and Section 4.1. Sections 4.1.1 (except examples 4.2 and 4.3), 4.1.2.
Week 10: More on relative risk regression. Sections 4.1.3 (only to line 7 on page 144), 4.1.4, and 4.1.5 (only to the middle of page 151). Additional material on model check for Cox regression.
Week 11: Remaining slides on topics related to Cox-regression on Tuesday. Additive (Aalen) regression on Thursday:
Week 12: Parametric models. Introduction to the chapter, parametric regression models including Poisson regression. Sections 5.1 and 5.2.
Week 13: Remaining part on parametric likelihoods within a counting process-martingale framework. Frailty models univariate and clustered data. Introduction to Chapter 6 and Sections 6.1, 6.2.1, and 6.2.2. Introduction to Chapter 7, 7.1 and Section 7.2.2.
Weeks 14-15+17-18: Remaining topics, otherwise exercises.