Duration
15h Th, 15h QA Sess.
Number of credits
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
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.
Hybrid learning.
Mode of delivery (face to face, distance learning, hybrid learning)
The lectures will be given each Friday of the first quadrimester from 10h15 to 12h15.
Hybrid learning.
Organisational adjustments related to the current health context
Recommended or required readings
slides will be available to the students
Textbook
- Statistiques épidémiologie (4ème édition), Thierry Ancelle.
- D.G. Altman. Practical statistics for medical research. Chapman & Hall, London, 2000.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Any session :
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
- Remote
written exam ( multiple-choice questionnaire, open-ended questions )
- If evaluation in "hybrid"
preferred remote
Additional information:
A PC exam online with eCampus will take place in January.
Work placement(s)
Organizational remarks
No remark
Contacts
- 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