STAT1750-1 : Multivariate statistical analysis

Study Programmes 2016-2017

STAT1750-1

Multivariate statistical analysis

Duration :

10h Th, 15h Pr

Number of credits :

Master in biomedicine (120 ECTS)		2
Master in public health (120 ECTS)		2
University certificate in clinical epidemiology and healthcare economics		3
Master in bio-informatics and modelling (120 ECTS)		2

Lecturer :

Nadia Dardenne, Anne-Françoise Donneau

Coordinator :

N...

Language(s) of instruction :

French language

Organisation and examination :

Teaching in the first semester, review in January

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:

JMP 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 JMP.

Mode of delivery (face-to-face ; distance-learning) :

Each course consists of 1h30 of theory and 1h of exercises with JMP. One lecture will be dedicated to JMP.The homeworks can be completed at home by the student.