Duration
10h Th, 15h Pr
Number of credits
| Master in public health (120 ECTS) (Programme transitoire) | 5 crédits |
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course consists of an in-depth study of multivariate statistical methods (in particular, the binary logistic regression) and the impact on these methods of problems encourtered on real data as well as the possible solutions. The course will focus on the following themes:
- Introduction to SAS
- Binary logistic regression
- ROC curve
- Potential confounding factors
- Quality of models
- Automatic variable selection
- Missing data
Learning outcomes of the learning unit
The objective of the course is to introduce, practically, multivariate statistical methods frequently used in epidemiology. At the end of the course, the student must be able to present the problem, apply the analysis using the SAS software and expose clearly the derived results .He must also be able to understand the presentation of multivariate methods in the scientific literature.
Prerequisite knowledge and skills
Prerequisite: STAT1750-1 or good knowledge of multivariate statistical analysis.
Planned learning activities and teaching methods
The practical sessions consist in analysing mulltivariate datasets by means of the statistical package SAS.
Homeworks could be corrected via eCampus.
Mode of delivery (face to face, distance learning, hybrid learning)
Organisational adjustments related to the current health context
Recommended or required readings
Slides as well as databases used during the courses will be made available to the students.
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
oral exam
- Remote
oral exam AND written work
- If evaluation in "hybrid"
preferred remote
Additional information:
Oral exam.
Work placement(s)
Organizational remarks
Contacts
* Anne-Françoise DONNEAU (Chargée de cours), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be
* Assistante : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email: ndardenne@uliege.be