Duration
15h Th, 15h Pr
Number of credits
| Master in biomedicine (120 ECTS) | 2 crédits | |||
| Master in motor sciences (120 ECTS) | 4 crédits | |||
| Specialised master in nuclear medicine | 2 crédits |
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
This course is the second part of the teaching of Biostatistics at the Faculty of Medicine. It addresses more advanced statistical methods, such as one-way and two-way analysis of variance (ANOVA), contingency tables, non-parametric statistical techniques, survival analysis, sampling method and principal components analysis.
Each lesson consists of a theoretical exposition of the method followed by a session of practical applications with R software, where the student will get used to solve statistical problems encountered in daily practice.
Learning outcomes of the learning unit
The course is intended to improve and enhance the use of biostatistics in health sciences, by insisting on statistical reasoning and problem solving rather than on the mathematics and the complexity of formula. Students should be able to carry out an in-depth statistical analysis of a dataset resulting from an experiment or a survey, in particular with respect to the thesis they will prepare later on in their cursus.
Prerequisite knowledge and skills
Prerequisite: STAT1001-1 or some equivalent statistical course.
Planned learning activities and teaching methods
Total: 15 hours
In statistics, practice is most important. Students are therefore requested to attend the practicals.
Mode of delivery (face to face, distance learning, hybrid learning)
All courses will take place at Salle informatique Lapière (CHU, B36) during the first four months.
Hybrid learning.
Organisational adjustments related to the current health context
Recommended or required readings
Slides and databases will be available to the students
Textbook
P. Dagnelie. Statistique Théorique et Appliquée. De Boeck Université, Bruxelles, 1999.
D. Schwartz. Le jeu de la science et du hasard. La statistique et le vivant. Flammarion, Paris, 1994.
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 ( open-ended questions )
- Remote
written exam ( open-ended questions )
- If evaluation in "hybrid"
preferred remote
Additional information:
A written test online with eCampus will take place in January and last about 3hours.
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@uliege.be
* Assistant : Justine MONSEUR, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.24.67 - Email:jmonseur@uliege.be