**Teacher:** Ziad Taib (0707655471 ) ziad.taib@astrazeneca.com or ziad@chalmers.se

**Textbook**: Linear mixed models for
longitudinal data,
Geert Verbeke and
Geert Molenberghs Springer Verlag,
New York plus
some handouts. The exact chapters that are due can be found
below.

**Schedule** **and Outline of Lectures: **All
lectures will take place in MVH11 Fridays 10.00-11.45 in the
form of power
point presentations. These will be handed out at the beginning
of each lecture.

March
24 |
Introduction to Linear Mixed Models |

March
27 |
Estimation and Inference for the
marginal model |

April
24 |
Inference for the random effects,
Software issues |

May
8 |
Non-linear and Generalized Linear Mixed
Models |

May
15 |
Incomplete data |

May
22 |
Design and sample size issues |

May
29 |
Model
checking |

**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 |

**Exam**: The Final
written exam will be a closed
book exam where the necessary complicated formulas will be
provided along with
the examination text. No complicated calculations are required
but you might
need a simple pocket calculator. Both “theoretical” and
applied problems can be
posed. You should be able to interpret Proc Mixed results but
you will not be
required to write any complex code, SAS or otherwise. Out of a
total of 30
(100%) possible scores, the computer assignments give a
“bonus” of up to 6
scores (20%) while the written exam gives 24 scores (80%).
There are three
possible grades: Excellent (over 26 scores), Pass (over 16
scores) and do not
pass (under 16 scores). Some sample questions covering parts
of the course can be found here. Answers to
these can be found here. A sample exam
can be found here. The solutions to
the exam can be
found here.

**Teachers:** Henrike Häbel (031 772 53 80) henrike.habel@chalmers.se and Alexandra Jauhiainen (031-7761000)
alexandra.jauhiainen@astrazeneca.com for the computer
assignments.

**Assignments**: There
will be one pre-assignment to get started and 2 assignments
that are part of
the examination. These are to be solved and presented in a
report, with
programs, output, and statistical notation integrated. The
quality of writing
and organization, as well as content, will influence the
grade. Homework may be
turned in directly to Henrike Häbel. The
deadlines for the assignments are May
12 for lab1 and May 26 for lab2. All computer
lab sessions will take place
in MVF22 31/3, 21/4, 28/4, 5/5, 12/5 and 19/5.

**Computer
access: **All
students are supposed to have a computer account. This account
will enable
computer lab use and use of computers in the School of
Mathematical Sciences.

**Software:** This course
will make extensive use of
SAS. This software is available on the computers that will be
used The application SAS SYSTEM ver 9.4 can be accessed by
using a Remote Desktop Connection (RDP) to the computer

**Material
for the computer assignment: **

(i)
Pre-assignment: Introduction to SAS – Data – SAS program.

(ii)
Assignment 1: Lab 1
(.doc) – Lab1 (.pdf)- Data1 Zip – Data1 – Data2 – Data 3**. **

(iii)
Assignment 2: Lab2 -
Data.

__News__

(i)
Welcome to the course
Linear Mixed Models on March 24 2015. Throughout the course,
news on lectures,
assignments etc. will be posted here.