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 and 6: 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. Slides for Lecture 2.
Week 7: 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. Slides for Lecture 3.
Week 8: Remaining issues for Nelson-Aalen and Kaplan-Meier (smoothing, percentiles, excess mortality, ties 3.1-3.2). Intro Nonparametric tests. Slides for Lecture 4.
Week 9: Nonparametric tests. Section 3.3 (except 3.3.4 and 3.3.5). Slides for Lecture 5
Week 10. Multistate models, Section 3.4. Slides for the lecture.
Week 11: Relative risk regression. The introductions to Chapter 4 and Section 4.1. Sections 4.1.1 (except examples 4.2 and 4.3). The lecture will be held from 13:15-14:00 in Room 126 and 14:15-15:00 in Room 108. Slides for the lecture.
Week 12: More on relative risk regression. Sections 4.1.2, 4.1.4, and 4.1.5 (only to the middle of page 151). Slides for the lecture.
Week 13: Remaining slides on topics related to Cox-regression. 4.1.3 (only to line 7 on page 144). Additional material on model check for Cox regression. Slides.
Remaining lectures
Week 14: Tied data and Cox-regression (slides from previous week). Additive (Aalen) regression, 4.2. Preliminary slides.
Week 15: Parametric models. Introduction to the chapter, parametric regression models including Poisson regression. Sections 5.1 and 5.2.
Week 17-18: 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 19: Remaining topics, otherwise exercises.