Duration
10h Th, 15h Pr
Number of credits
| Master in public health (120 ECTS) | 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
- Interaction terms
- 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)
Each course will switch between theory and practice with the SAS software. One lesson will be dedicated to an introduction of this software.
Recommended or required readings
Slides as well as databases used during the courses will be made available to the students.
Assessment methods and criteria
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
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Online Courses and Videos, eCampus Discussion Forum, eCampus Exercises, ecampus Homework with feedback.
Assessment subjects
Same as that presented at the beginning of the course, except that the material relating to missing data (definition, types, methods, multiple imputation) will not be given, not evaluated.
Assessment methods
The method of assessment is identical to the one presented at the beginning of the course - work + oral evaluation.
Contacts
* Anne-Françoise DONNEAU (Lecturer), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tel: 04-366.47.90 Email: afdonneau@uliege.be
* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique Tel: 04-366.33.40 - Email: ndardenne@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
Same as that presented at the beginning of the course, except that the material relating to missing data (definition, types, methods, multiple imputation) will not be given, not evaluated.
Assessment methods
The method of assessment is identical to the one presented at the beginning of the course - work + oral evaluation. (eCampus - Collaborate)
Contacts
* Anne-Françoise DONNEAU (Lecturer), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tel: 04-366.47.90 Email: afdonneau@uliege.be
* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique Tel: 04-366.33.40 - Email: ndardenne@uliege.be