The lectures in STK4900 will take place Monday to Friday in weeks 10 og 18 (5-9 March and 16-20 April). In these weeks there will be lectures by Ørnulf Borgan and Sven Ove Samuelsen kl. 9.15-12.00. Information on the lecture rooms are given here .
Below is given a preliminary plan for the lectures. Chapters and sections refer to the book by Vittinghoff, Shiboski, Glidden og McCulloch.
Part 1 (week 10)
Monday 5 March:
Explorative and descriptive methods. Basic probability concepts and statistical methods. Sections 2.1-2.3, sections 3.1.1-3.1.3 and 3.1.7, supplementary material. Introduction to R . Slides for lecture 1 .
Tuesday 6 March:
One-way ANOVA. Correlation. Simple linear regression. Section 2.4, sections 3.1.4, 3.2, 3.3, supplementary material. Slides for lecture 2 .
Wednesday 7 March:
Multiple linear regression. Section 2.5, sections 4.1, 4.2 (except 4.2.4), 4.3 (except 4.3.4-5). Slides for lecture 3 . Details on the cigarette data are given here
Thursday 8 March:
Confounding. Interaction. More on ANOVA. Sections 4.1, 4.4, and 4.6, supplementary material. Slides for lecture 4
Friday 9 March:
Model checking and predictor selection. Section 4.7 and parts of Chapter 5. Slides for lecture 5
Part 2 (week 16)
Monday 16 April:
Binary data and proportions. Contingency tables. Risk measures. Introduction to logisitic regression. Sections 3.4 and 6.1, supplementary material. Slides for lecture 6 . Comments on the compulsory assignment (R-commands ).
Tuesday 17 April:
Logisitc regression. Maximum likelihood estimation. Deviance and likelihood ratio tests. Sections 6.1, 6.2 (except 6.2.5), and 6.6, supplementary material. Slides for lecture 7 .
Wednesday 18 April:
Poisson distribution. Poisson regression. Generalized linear models. Chapter 9 (except 9.2), supplementary material. Slides for lecture 8 .
Thursday 19 April:
Survival data and censoring. Kaplan-Meier estimator. Logrank test. Proportional hazards and Cox regression. Sections 3.5, 7.1, and 7.2. Slides for lecture 9 .
Friday 20 April:
Repeated measures and longitudinal data. Sections 8.1-8.5. Slides for lecture 10 .