2023-2024 / STAT1750-1

Multivariate statistical analysis


15h Th, 10h Pr

Number of credits

 Master in biomedicine (120 ECTS)2 crédits 
 Master in nursing sciences2 crédits 
 Master in public health (120 ECTS) (Transitional programme)2 crédits 
 Master in public health (120 ECTS) (new programme)3 crédits 


Anne-Françoise Donneau

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The course is a general introduction to the explicative methods used in multivariate analysis, i.e. the study of several variables simultaneously. The course will cover the following chapters:

  • R/Rcmdr introduction
  • Multiple regression
  • Binary and ordinal logistic regression
  • Survival curves and Cox regression

Learning outcomes of the learning unit

The course is an introduction to the methods of multivariate data analysis. At the end of the course, the student should have the ability of defining a multivariate problem, analysing the data and interpreting the results. He/she should also be able to understand the use of multivariate methods in the scientific literature.

Prerequisite knowledge and skills

Prerequisite: STAT1001-1 et STAT0420-1 ou STAT730-2
A good knowledge of univariate statistical methods.

Planned learning activities and teaching methods

The practical sessions consist in analysing mulltivariate datasets by means of the statistical package R.
Please take with you your lecture notes and a PC with R/Rcmdr installed

Mode of delivery (face to face, distance learning, hybrid learning)

Face-to-face course

Additional information:

Each course consists of theory and exercises with R.The homeworks can be completed at home by the student with eCampus. Tutorials are available. 

Recommended or required readings

Slides, exercices, tutorials and databases will be available for the students 
Textbooks (notmandatory) are: - Multivariate statistical methods. D. Morrison, Mc Graw-Hill,Auckland, 1986 - Introduction to multivariate analysis. C. Chatfield et A.J. Collins, Chapman and Hall. ed, London, 1980

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Additional information:

Practice exam on computer with eCampus. It will take place in January and last about 2 hours.

Work placement(s)

Organisational remarks and main changes to the course

The course will normally take place on Tuesday morning of the first quadrimester.


* Anne-Françoise DONNEAU (Professor), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be  

* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@uliege.be

Association of one or more MOOCs