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.
Overview of past lectures
Week 35: Counting processes, martingales and other stochastic processes Sections 2.1, 2.2 and 3.1. Application to survival data and the Nelson-Aalen estimator. Slides for Lecture 2.
Week 36: More on counting processes and martingales. Section 2.3 and 3.2. Application to Nelson-Aalen and Kaplan-Meier estimator. Slides for Lecture 3.
Week 37: Remaining issues for Nelson-Aalen and Kaplan-Meier (smoothing, percentiles, excess mortality, ties 3.1-3.2). Intro Nonparametric tests. Slides.
Week 38: Nonparametric tests. Section 3.3 (except 3.3.4 and 3.3.5). Introduction to multistate models. Slides.
Week 39: Multistate models. Section 3.1.4, 3.4.1, 3.4.2, and 3.4.3. Slides.
Week 40: The mstate package for multistate models. Slides.
Week 41: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.
Week 42: 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. where we got as far slide 38.
Week 43: Remaining slides on modification to Cox-regression. Additive regression. Subsections 4.2.1 and 4.2.2. Slides.
Week 44: Parametric models. Introduction to the chapter, parametric regression models including Poisson regression. Sections 5.1 and 5.2. Slides (a bit updated).
Week 45: The last 6-7 slides from Week 44. 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. Slides.
Plans for future lectures
Week 46: No teaching
Weeks 47 and 48: Exercises only.