2023-2024 / STAT1001-1

Biostatistics I


15h Th, 15h QA Sess.

Number of credits

 Bachelor in biomedicine2 crédits 
 Bachelor in physiotherapy and rehabilitation3 crédits 
 Bachelor in motor sciences3 crédits 
 Bachelor in pharmacy3 crédits 
 Master in nursing sciences2 crédits 
 Advanced Master in Occupational Medicine4 crédits 
 Advanced Master in Nuclear Medicine2 crédits 
 Advanced Master in Otorhynolaryngology3 crédits 
 University certificate : training in professional pathology4 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 starts with an introduction to descriptive statistics, outlining methods to summarise data graphically (bar diagram, histogram, cumulative frequency distribution) or numerically (mean value, standard deviation, proportion, percentiles, median, range, correlation). Next, there is an introduction to sampling theory and probability theory which bridge descriptive statistics to inferential statistics (standard error, confidence interval). Finally, some of the major statistical tests are described including the use of R.

Learning outcomes of the learning unit

Statistics plays a major role in health sciences (medicine, dentistry, pharmacy, biomedical and motricity sciences). The course is intended to give students the basics of statistical thinking, reasoning and computing. Emphasis will be put on (1) data analysis, (2) planning of experiments and survey, (3) research, (4) critical reading of the scientific literature, and (5) the logic of scientific reasoning. Students should be able to carry out the statistical analysis of a dataset by means of R and give a proper interpretation of the derived results.

Prerequisite knowledge and skills

The mathematical background acquired in highschool and the course of physics should suffice to understand the course.

Planned learning activities and teaching methods

There will be 8 sessions of practicals (statistical exercises), with a duration of 2h each.
In statistics, practice is vital. Students are therefore requested to attend these sessions. 
Please take with you the lecture notes, a PC with R/Rcmdr installed.

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

Face-to-face course

Additional information:

The lectures will be given each Friday of the first quadrimester from 10h15 to 12h15.


Recommended or required readings

slides will be available to the students

  • Statistiques épidémiologie (4ème édition), Thierry Ancelle.
  • D.G. Altman. Practical statistics for medical research. Chapman & Hall, London, 2000.

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

Additional information:

A PC exam online with eCampus will take place in January. It consists of two parts:

  • Reflection questions (in the form of MCQ)
  • Exercices using R/Rcmdr software
The weighting of the overall mark is 1/3 for the MCQ and 2/3 for the exercises, but an insufficient mark (<8) in one of the two parts automatically results in this insufficient mark as the overall mark. 

Work placement(s)

Organisational remarks and main changes to the course

No remark


  • Anne-Françoise DONNEAU (Professor), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be  
  • Assistant : Justine MONSEUR, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.24.67 - Email:jmonseur@uliege.be

Association of one or more MOOCs