Biostatistics

Duration

25h Th, 10h Pr

Number of credits

Lecturer

Anne-Françoise Donneau

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

This course is subdivided in two parts. In the first part, we start by giving an introduction to descriptive statistical methods which permit to summarize a data set either graphically or numerically. Then we turn to inferential statistics, the basis of scientific reasoning, which consist in making conclusions on a population from a random sample drawn from it. The student will learn about classical statistical tests and the use of statistical tables (random numbers, Normal, Student t, Snedecor F and chi-squared distributions). The second part of the course tackles more advanced statistical methods, like regression, one-way and two-way analysis of variance, contingency tables and non-parametric techniques. During practical sessions, the student will be trained in the treatment of data applications encountered in practice.

Learning outcomes of the learning unit

The course is intended to get students familiar with statistical problems and data analysis. Emphasis is placed on the scientific reasoning rather than on the mathematical aspects of statistics or the formula to use. Students should have a sufficiently solid knowledge in statistics for the years ahead, and in particular for the thesis they have to write at the end of their curriculum.

Prerequisite knowledge and skills

The mathematical training received in bachelor years is sufficient to take the course. As already mentioned, emphasis is placed the potential of statistical methods in experimental design and scientific research.

Planned learning activities and teaching methods

The practical sessions take place in the first quadrimester as do the courses (see time plan with the paedagogical secretarial office).
Exercises can be finished at home if necessary.

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

The lectures take place in the first quadrimester.

Recommended or required readings

Slides will be available to the students. Students will have to buy the booklet of exercices (AF Donneau, Presses Universitaires de Liège, 2014, Point de Vue près des grands amphis).
Textbook -"Biostatistique", A. Albert,Presses Universitaires de Liège, 2014  - Introduction to Statistical Analysis. W.J. Dixon et F.J. Massey. McGraw Hill, 1983

Assessment methods and criteria

A written exam (closed book, only the form with equation is allowed) will take place in January. It lasts for about 4 hours. 

Work placement(s)

Organizational remarks

Contacts

* Anne-Françoise DONNEAU (Professor), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@ulg.ac.be(aalbert@ulg.ac.be   )
* Bernard VRIJENS (Invited Professor) - CHU Sart Tilman (B23), 4000 Liège. Tél: 04-366.33.40 - Fax: 04-366.25.96 Email: ndardenne@ulg.ac.be
* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@ulg.ac.be
* Secretary : Anna MARCHETTA, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.25.90 - Email:bstat@ulg.ac.be