Duration
15h Th, 15h Pr
Number of credits
| Master in biomedicine (120 ECTS) | 2 crédits | |||
| Advanced Master in Nuclear Medicine | 2 crédits | |||
| Master in physics (120 ECTS) | 3 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.
Praticals will start after the first theoretical lesson (13h30-15h30) from 15h45 to 17h45. Attendance at these sessions is mandaotry, even if some exercises can be completed at home.
Equipment required: the student must come to the practical sessions with a charged laptop and the Rcmdr software duly installed (installation instructions available on MyULiège and eCampus)
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
All courses will take place during the first four months.
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.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Additional information:
A written test with eCampus will take place in January and last about 3hours.
Work placement(s)
Organisational remarks and main changes to the course
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