Study Programmes 2016-2017
VDOC0052-1  
Choices, interpretation and limits of statistical tests in veterinary sciences
Duration :
12h Th, 6h Mon. WS
Number of credits :
Doctoral training in veterinary sciences3
Lecturer :
Frédéric Farnir, Pascal Leroy
Coordinator :
Pascal Leroy
Language(s) of instruction :
French language
Organisation and examination :
All year long
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
Statistical models are introduced using the classical linear models methodology. Simple models (gression and classification models) are shown to be basic examples of the linear models methodology. Examples are provided to illustrate the theory.
Learning outcomes of the learning unit :
By the end of the course, students should be able to model complex situations, obtain parameters estimators and test hypotheses on these parameters.
Prerequisite knowledge and skills :
Basic statistics - Distributions (mainly t and F) - Hypotheses testing (design, calculations, p-value, conclusions).
Planned learning activities and teaching methods :
6 times 2 hour sessions - computers are used by the student during the sessions.
Mode of delivery (face-to-face ; distance-learning) :
Front presentations
Recommended or required readings :
Electronic documents, including the course slides and a syllabus chapter, are available for the student on the unit website.
Assessment methods and criteria :
Individual oral exam. The student should have ready a statistical analysis of his own dataset or from a provided (by us) dataset using the techniques developed in the course.
Work placement(s) :
Organizational remarks :
Course schedules and rooms are provided by the professor in due time. The final examination is made on an individual request of each of the students.
Contacts :
Prof. Frédéric Farnir
E-mail: f.farnir@ulg.ac.be
Phone: +32 4 366 41 28
Fax: +32 4 366 41 22