·
Course
requirements and goals
Welcome to the course! The schedule for the
course can be found in TimeEdit.
Course coordinator: Ziad Taib (ziad@chalmers.se)
phone: +46 707 65 54 71.
Teachers:
Ziad Taib and José Sanchez (jose.sanchez1@astrazeneca.com).
Teaching assistant: Juan Inda (inda@chalmers.se)
Lab supervisor: Juan Inda and Mahdi Hashemi (mahdi.hashemi@astrazeneca.com)
Linear
mixed models for longitudinal data, Geert Verbeek and Geert Molenberghs,
Springer Verlag,
New York plus some handouts.
January 23 |
Introduction (Chap 1-4) ZT |
January 25 |
Estimation for the marginal model (Chap 5) JS |
January 30 |
Inference for the marginal model (Chap
6) JS Computer Project |
February 1 |
Inference for the random effects (Chap 7)
JS |
February 8 |
Fitting mixed models (Chap 8 plus lecture notes) JS |
February 13 |
Generalized Linear Mixed Models (Handouts) ZT Computer Project
|
February 15 |
Non-linear Mixed Models (Handouts) ZT |
February 20 |
Incomplete data (Chap 15-16) ZT Computer Project |
February 27 |
Imputation in Mixed Models (Handouts) ZT |
March 1 |
Design and sample size issues (Chap 23) ZT Computer Project |
March 4 |
Model checking (Handouts) ZT |
March 6 |
Reserv ZT and JS Computer Project |
March 8 |
Repetition ZT and JS |
Reading Instructions
Chapters 1-5 |
The whole chapter is required |
Chapter 6 |
6.1 to 6.3.3 |
Chapter 7 |
7.1-7.7 |
Chapter 8 |
The whole chapter is required |
Chapter 14 |
Self-reading |
Chapter 15 |
The whole chapter is required |
Chapter 16 |
The whole chapter is required |
Chapter 20 |
20.3 |
Chapter 23 |
The whole chapter is required |
Handouts |
Generalized mixed models |
Handouts |
Non-linear mixed models |
Handouts |
Model checking |
The computer projects will take place on the following dates: 30/1, 13/2, 20/2/, 27/2 and 6/3.
Linear mixed models for longitudinal data,
Geert Verbeek and Geert Molenberghs, Springer Verlag,
New York plus some handouts.
Pre-requisites: Some course in experimental design and familiarity with regression
analysis.
Course Objectives: The purpose of this course is to give an introduction
to mixed model methods and longitudinal data analysis. Non-linear models
and generalized models will also be touched upon briefly. The course aims to
enable the participants to formulate a mixed model, define and interpret
possible estimators, and implement a mixed model analysis for a two-stage
nested study, a repeated measures study, and a factorial experimental study.
More specifically the participant will be able to
Cf. Computer projects.
Grading: Computer Projects: 20%, Final
written exam: 80% (cf. below)
Rules: A closed book exam which means that no material is
allowed other than a simple pocket calculator.
Scores:
The written exam is worth 24 scores (80%) while the computer assignments
are worth 6 scores (20%). Together these two parts add up to 30 scores (100%).
There are three possible overall grades: Excellent (at least 26 scores), pass
(at least 16 cores) and do not pass (less than 16 cores).
More information on the final exam will be a
given later.
In Chalmers Student Portal you can read about when exams are
given and what rules apply on exams at Chalmers. In addition to that, there is
a schedule when exams are given for courses at University
of Gothenburg.
Before the exam, it is
important that you sign up for the examination. If you study at Chalmers, you
will do this by the Chalmers Student Portal, and if you study at University of
Gothenburg, you sign up via GU's Student Portal, where you also can read about what
rules apply to examination at University of Gothenburg.
At the exam, you should be
able to show valid identification.
After the exam has been
graded, you can see your results in Ladok by logging
on to your Student portal.
At the annual (regular)
examination:
When it is practical, a separate review is arranged. The date of the review
will be announced here on the course homepage. Anyone who can
not participate in the review may thereafter retrieve and review their
exam at the Mathematical Sciences Student office. Check that you have the right
grades and score. Any complaints about the marking must be submitted in writing
at the office, where there is a form to fill out.
At re-examination:
Exams are reviewed and retrieved at the Mathematical Sciences Student office. Check that you have the right
grades and score. Any complaints about the marking must be submitted in writing
at the office, where there is a form to fill out.
The questions and solutions from the exam in June 2019. More are available on Drive.