Duration
30h Th, 4h Pr
Number of credits
| Specialised master in health care data management | 5 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 subdivided in two parts. In the first part, we start by giving an introduction to descriptive statistical methods which permit to summarize a data set either graphically or numerically. Then we turn to inferential statistics, the basis of scientific reasoning, which consist in making conclusions on a population from a random sample drawn from it. The second part of the course tackles more advanced statistical methods, like regression, one-way and two-way analysis of variance, contingency tables and non-parametric techniques. During practical sessions, the student will be trained in the treatment of data applications encountered in practice.
Learning outcomes of the learning unit
The course is intended to get students familiar with statistical problems and data analysis. Emphasis is placed on the scientific reasoning rather than on the mathematical aspects of statistics or the formula to use. Students should have a sufficiently solid knowledge in statistics for the years ahead, and in particular for the thesis they have to write at the end of their curriculum.
Prerequisite knowledge and skills
The mathematical training received in bachelor years is sufficient to take the course. As already mentioned, emphasis is placed the potential of statistical methods in experimental design and scientific research.
Planned learning activities and teaching methods
Training exams will be available on eCampus.
Mode of delivery (face-to-face ; distance-learning)
The lectures take place in the first quadrimester.
Recommended or required readings
Slides will be available to the students.
Textbook -Statistiques épidémiologie (4ème édition), Th. Ancelle - Introduction to Statistical Analysis. W.J. Dixon et F.J. Massey. McGraw Hill, 1983
Assessment methods and criteria
A written exam (closed book, only the form with equation is allowed) will take place in January. It lasts for about 1 hours.
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
* Bernard VRIJENS (Invited Professor) - CHU Sart Tilman (B23), 4000 Liège. Tél: 04-366.33.40 - Fax: 04-366.25.96 Email: ndardenne@uliege.be
* Assistant : 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
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
Identical to January exam.
Assessment methods
A written exam (closed book, only the form with equation is allowed) (eCampus). It lasts for about 1 hours.
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
* Bernard VRIJENS (chargé de cours invité) - CHU Sart Tilman (B23), 4000 Liège. Tél: 04-366.33.40 - Fax: 04-366.25.96 Email: ndardenne@uliege.be
* Assistante : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@uliege.be