The lectures in STK4900 will take place Monday to Friday in weeks 8 and 14 (17th-21st of February and 31st of March-4th of April). In these weeks there will be lectures by Sven Ove Samuelsen 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 9)
Monday February 17th:
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 February 18th
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 February 19th:
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 February 20th:
Confounding. Interaction. More on ANOVA. Sections 4.1, 4.4, and 4.6, supplementary material. Slides for Lecture 4.
Friday February 21st:
Model checking and predictor selection. Section 4.7 and parts of Chapter 5. Slides for Lecture 5.
Part 2 (week 14)
Monday March 31st:
Binary data and proportions. Contingency tables. Risk measures. Introduction to logisitic regression. Sections 3.4 and 5.1, supplementary material. Slides for Lecture 6.
Tuesday April 1st:
Logisitc regression. Maximum likelihood estimation. Deviance and likelihood ratio tests. Sections 5.1, 5.2 (except 5.2.6), and 5.6, supplementary material. Slides for Lecture 7 .
Wednesday April 2nd:
Poisson distribution. Poisson regression. Generalized linear models. Chapter 8 (except 8.2), supplementary material. Slide for Lecture 8.
Thursday April 3rd:
Survival data and censoring. Kaplan-Meier estimator. Logrank test. Proportional hazards and Cox regression. Sections 3.5, 6.1, and 6.2. Slides for Lecture 9.
Friday April 4th:
Repeated measures and longitudinal data. Sections 7.1-7.5. Slides for Lecture 10.