Duration
Biostatistics : 30h Th, 4h Pr
Statistical analysis software : 10h Th, 16h Pr
Number of credits
| Master in public health (120 ECTS) | 7 crédits |
Lecturer
Biostatistics : Anne-Françoise Donneau
Statistical analysis software : Anne-Françoise Donneau
Coordinator
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
Biostatistics
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.
Statistical analysis software
The statistical software R, as well as various packages are viewed throughout the course. During the lectures, the statistical analysis methods presented in STAT0730-A-b or STAT1001-1 and STAT0420-1 will be applied on real databases. Special attention will be given to the interpretation of the results provided by the software.
Learning outcomes of the learning unit
Biostatistics
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.
Statistical analysis software
The main purpose of the course is to become familiar with the use of R.
Prerequisite knowledge and skills
Biostatistics
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.
Statistical analysis software
Corequis: STAT0730-A-b or STAT1001-1 and STAT0420-1 or equivalent.
Planned learning activities and teaching methods
Biostatistics
The practical sessions take place in the first quadrimester as do the courses.
Exercises can be finished at home if necessary.
Mode of delivery (face-to-face ; distance-learning)
Biostatistics
The lectures take place in the first quadrimester.
Statistical analysis software
Face to face
Recommended or required readings
Biostatistics
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
Statistical analysis software
Slides, tutorials and databases will be available to the students
Assessment methods and criteria
Biostatistics
A written exam (closed book, only the form with equation is allowed) will take place in January. It lasts for about 1 hours.
Statistical analysis software
A practice exam on computer. It lasts for about 2 hours and it will take place in January.
Work placement(s)
Organizational remarks
Contacts
Biostatistics
* 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
Statistical analysis software
* Anne-Françoise DONNEAU (Professor), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be
* François-André ALLAERT (Professeur adjoint) CEN Biotech CHRU du Bocage F-21000 Dijon Tél: +33-380.29.34.31 Fax: +33-380.29.39.73
* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@uliege.be