Below are given plans for the coming lectures and an overview of the material that has been covered in the course so far. Section numbers, etc refer to the book by Aalen, Borgan, and Gjessing.
Plans for coming lectures
The theaching is now concluded, so there will be no more lectures in the course.
Overview of past lectures
Week 48: We discussed the solutions of the following exam problems:
- Exam 2008: Problems 2, 3, and 4
- Exam 2012: Problems 1 and 2.
Handwritten solutions are given here for the exam from 2008 and 2012. Additional material for the exam from 2012 is given here.
Week 47: Frailty models for recurrent events. Marginal models for clustered survival data and recurrent events. Section 7.3. Section 8.1 (only pages 302 and 303). Section 8.3.1 (only pages 313-314). Slides to the lectures are given here.
Week 46: 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 and Section 7.2.2. Slides to the lectures are given here. (Slides 33-35 were not covered at the lectures and will be lectured in week 47.)
Week 45: There were no lectures in week 45.
Week 44: Parametric regression models and Poisson regression. Slides to the lectures are given here. (Slides 19-25 were not covered at the lectures and will be lectured in week 46.)
Week 43: Parametric models. Introduction to the chapter. Section 5.1. Slides to the lectures are given here. (Slides 31-33 were not covered at the lectures and will be lectured in week 44.)
Week 42: Additive regression. Subsections 4.2.1, 4.2.3 (only until line 14 on page 165). Appendix B. Slides to the lectures are given here. (Slides 25-30 were not covered at the lectures and this material will not be part of the curriculum.)
Week 41: 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. Slides to the lectures are given here.
Week 40: Introduction to regression models. 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. Slides to the lectures are given here (the slides have been updated after the lectures). (Slides 29-37 were not covered at the lectures and will be lectured in week 40.)
Week 39: The mstate package for multistate models. Nonparametric tests. Section 3.3 (except 3.3.4 and 3.3.5). Slides to the lectures are given here. (Slides 31-38 were not covered at the lectures and will be lectured in week 40.)
Week 38: Estimation of restricted means and fractiles. Multistate models. Section 3.1.4, 3.4.1, 3.4.2, and 3.4.3. Slides to the lectures are given here (the slides have been updated after the lectures).
Week 37: The Nelson-Aalen and Kaplan-Meier estimators. Section 3.1 (except 3.1.3 and 3.1.4) and Section 3.2 (except 3.2.2, 3.2.3 and 3.2.5). Slides to the lectures are given here. (Slides 40-42 were not covered at the lectures and will be lectured in week 38.)
Week 36: Stochastic processes in continous time. Section 2.2 (except 2.2.3, 2.2.7, and 2.2.8). Section 2.3 [in 2.3.3 we will only consider (2.57) for k=1 with the sufficient regularity conditions (2.60) and (2.61)]. Slides to the lectures are given here.
Week 35: Martingales and other stochastic processes in discrete time. Introduction to stochastic processes in continous time. Sections 2.1.1, 2.1.2, and 2.1.3. Introduction to Section 2.2 (only to the top of page 49). Slides to the lectures are given here. (Only slides 1-23 were covered at the lectures. The remaining material will be lectured in week 36.)
Week 34: Introduction to the course: Chapter 1 (except for section 1.3). Slides to the lectures are given here . (Sections 1.4.3 and 1.5 were not discussed at the lectures, but will be covered by later chapters.)