02429 Analysis of correlated data: Mixed Linear Models

Course start  Autumn 2011 takes place:

Thursday 15/9: 9.00-12.00.

Room: 205, building 305.

Course Aim:

To obtain knowledge about and ability to the handling of statistical analysis of data based on mixed linear models, with applications in agriculture, food science, biology, medicine and technical sciences.

Contents:

The course will cover the basic general theory and applications of mixed linear models, i.e., including fixed and random effects but also more general correlation structures are covered including the use of mixed linear models for the analysis of repeated measures/longitudinal data.

In short, if you have ANOVA-like data with a structure that goes beyond what you learn in basic statistics courses, you will learn how to deal with them in a practically oriented way!Work with previous exercises
Work with  Homeworks
Work with R-tutorial/examples from material


The software package R will be used (SAS is also an option).

Course responsible:

Per B. Brockhoff, build. 305, room 110, (+45) 4525 3365, pbb@imm.dtu.dk

Teaching arrangements:

The course will run as a regular DTU course in the E2B schedule: thursdays 8-12, with 1-2 hours of lecturing and R-tutorials followed by 2 hours
of computer exercises. However in 2011 the course will NOT run during the first two weeks of the semester (so starting thursday 15/9). The course
can be followed as a distant-learning course since all lectures will be recorded and shared online. It will be a mix of using existing recorded lectures/tutorials
and new lectures/recordings.  It is recommended to participate face-to-face
at the fhe first day of the course. Material, instructions and lectures will be available on the web, and web-based communication with the teacher(s) and fellow participants is possible during the course. The course will last for 12 weeks and consists of 12 modules - with 9 planned face-to-face  sessions.

Each module consists of the following learning objects:

• a) Web-based lecture notes and R (and SAS) instructions.

• b) Lectures on theory and R (recorded and shared online)

• c) Exercises.

In addition a number of hand-in homework assignments will be given.

Add a)

A complete web based course material with 12 modules will be available. It may be read directly on the screen or it may be printed out in a nice printable format.

Add b)

• A  collection of video/audio based online lecture material in chemometrics and mixed linear models  (IN ENGLISH)
  

Evaluation:

Evaluation of homework reports.

Prerequisites:

02402/ 02403 and 02411. (Introduction to Statistics and Statistical Design and Analysis of Experiments) and preferably some experience using the software, R or Splus (or SAS) such as 02441 (Applied statistics and statistical software). If you have no prior experience with statistical software, familiarity with programming can to some degree be a substitute.

Technical requirements

The video based presentations run optimally under Microsoft Windows. The R- programme may be downloaded from http://mirrors.dotsrc.org/cran/ .
 IMPORTANT: The individual participant only needs one piece of software for the course. We recommend that you use R for the exercises, but SAS is also an option. SAS will however not be supported to the same extent as R. Some prior experience in using statistical software will be an advantage.

Fall 2011: Exercise, Homework and Project work overview:

(Will be updated during the course)

If more time at the exercise hours:

1. Work with previous exercises
2. Work with  Homeworks
3. Work with R-tutorial/examples from material

Submission of homeworks: In campusnet!

General information:

Lecturers and project supervisors

• PBB: Professor Per M. B. Brockhoff (IMM)
  Building 305, Office 110
  Email: pbb(a)imm.dtu.dk

• CHJ: Ph.D.Student Christine Jochumsen (IMM)
  Building 305, Office 109
  Email: chjo(a)imm.dtu.dk

Usefull links:

Software:

• SAS

•  R