Duration
Biostatistics : 30h Th
Statistical analysis software : 5h Th, 25h Pr
Number of credits
Lecturer
Biostatistics : Anne-Françoise Donneau
Statistical analysis software : Anne-Françoise Donneau, Philippe Kolh
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.
This course also includes two 2-hour sessions devoted to critical reading of scientific articles.
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
- understand and learn to criticize the statistical methodology of a scientific article
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
Face-to-face course
Additional information:
The lectures take place in the first quadrimester.
Statistical analysis software
Face-to-face course
Additional information:
Tutorals available before the courses. Exercices on eCampus. Scientific articles will also be available for critical reading.
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
Biostatistics
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
Statistical analysis software
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Additional information:
A practice exam on computer with eCampus. It lasts for about 2 hours and it will take place in January.
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
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