Duration
30h Th
Number of credits
| Advanced Master in Health 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 linear regression, one-way analysis of variance, survival analysis, 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, hybrid learning)
Face-to-face course
Additional information:
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
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire )
Additional information:
A written exam will take place in January. It lasts for about 1 hours.
The weighting of the global mark of the teaching unit is 50% for each of the parts (Biostatique et Traitement statistiquement par outils informatiques) BUT an insufficient mark in one part (< 9/20) will lead to an insufficient global mark for the whole teaching unit
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
* 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