2023-2024 / STAT0730-3

Biostatistics, Statistical analysis software

Duration

5h Th, 25h Pr

Number of credits

 Advanced Master in Health Data Management5 crédits 

Lecturer

Anne-Françoise Donneau, Philippe Kolh

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

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

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

Corequis: STAT0730-A-b or STAT1001-1 and STAT0420-1 or equivalent.

Planned learning activities and teaching methods

Please take with you the lecture notes, a PC with R/Rcmdr installed.

Mode of delivery (face to face, distance learning, hybrid learning)

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

Slides, tutorials, book of exercices and databases will be available to the students

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

* 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

Association of one or more MOOCs