Duration
Biostatistics : 30h Th, 4h Pr
Statistical analysis software : 10h Th, 16h Pr
Number of credits
| Master in public health (120 ECTS) (Programme transitoire) | 7 crédits | |||
| Master in public health (120 ECTS) (ERASMUS MUNDUS EuropubHealth+) | 7 crédits |
Lecturer
Biostatistics : Anne-Françoise Donneau, Catherine Quantin
Statistical analysis software : Anne-Françoise Donneau, Catherine Quantin
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 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.
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 therotical courses 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
Training exams will be available on eCampus.
Statistical analysis software
Please take with you the lecture notes, a PC with R/Rcmdr installed.
Mode of delivery (face to face, distance learning, hybrid learning)
Biostatistics
The lectures take place in the first quadrimester.
Hybrid learning.
Statistical analysis software
Hybrid learning.
Tutorals available before the courses. Exercices on eCampus.
Organisational adjustments related to the current health context
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, book of exercices and databases will be 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.
Biostatistics
Any session :
- In-person
written exam ( multiple-choice questionnaire )
- Remote
written exam
- If evaluation in "hybrid"
preferred remote
Additional information:
A written exam online with ecampus will take place in January. It lasts for about 1 hours.
Statistical analysis software
Any session :
- In-person
written exam ( open-ended questions )
- Remote
written exam
- If evaluation in "hybrid"
preferred remote
Additional information:
A practice exam on computer online with eCampus. 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
* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@uliege.be