University of Liege | Version française
Academic year 2014-2015Value date : 12/05/2015
Version 2013-2014
STAT0160-1  Introduction to statistics applied to medicine

Duration :  15h Th, 15h Pr
Number of credits :  
Master in medecine, 3rd year2
Master in medecine, 4th year2
Lecturer :  N...
Language(s) of instruction :  
French language
Course contents :  
The course starts with an introduction to descriptive statistics, outlining methods to summarise data graphically (bar diagram, histogram, cumulative frequency distribution) or numerically (mean value, standard deviation, proportion, percentiles, median, range, correlation). Next, there is an introduction to sampling theory and probability theory whch bridge descriptive statistics to inferential statistics (standard error, confidence interval). Finally, some of the major statistical tests are described including the use of statistical tables (Normal Z, Student t, Snedecor F and chi-squared).
Learning outcomes of the course :  
Statistics plays a major role in health sciences (medicine, dentistry, pharmacy, biomedical and motricity sciences). The course is intended to give students the basics of statistical thinking, reasoning and computing. Emphasis will be put on (1) data analysis, (2) planning of experiments and survey, (3) research, (4) critical reading of the scientific literature, and (5) the logic of scientific reasoning. Students should be able to carry out the statistical analysis of a dataset by means of a pocket calculator and give a proper interpretation of the results.
Prerequisites and co-requisites/ Recommended optional programme components :  
The mathematical background acquired in highschool and the course of physics should suffice to understand the course.
Planned learning activities and teaching methods :  
There will be 5 sessions of practicals (statistical exercises), with a duration of 2h each.

In statistics, practice is vital. Students are therefore requested to attend these sessions. They will be splitted in groups of about 50-80 people. Students are inveited to check the timetable at the appropriate advertisng boards.

Please take with you the lecture notes, a pocket calculator and a pad.
Mode of delivery (face-to-face ; distance-learning) :  
Courses will be given each Friday of the first quadrimester from 8h15 to 10h15 in the auditorium 604 at the following dates: 23/9, 30/9, 7/10, 21/10, 28/10, 4/11, 18/11.
Recommended or required readings :  
Students will have to buy the lecture notes "Biostatistics, A. Albert, edition 2005" at the secretarial office of Professor A. Albert (School of Public Health, University Hospital, CHU, B35) at the cost of 15 EUR. This book contains the course material as well the main statistical tables. It will be used during exercise sessions and at the final examination. Finally, it can be used as a reference book in biostatistics in subsequent years.

Textbook
D.G. Altman. Practical statistics for medical research. Chapman & Hall, London, 2000.
Assessment methods and criteria :  
A written test will take place in January. Any score of 10 or more will be considered as a success, exempting the student from the examination in June or September. All exams are written exams and students can used their lectures notes or any other documents. Exams are scored 0-20.
Work placement(s) :  
Organizational remarks :  
Contacts :  
Lecturer
Adelin ALBERT (Professeur ordinaire), Département des Sciences de la Santé Publique (DSSP)- Informatique Médicale et Biostatistique, CHU Sart Tilman (B35), 4000 Liège.
Tél: 04-366.25.91/90 - Fax: 04-366.25.96
Email: aalbert@ulg.ac.be

Secretary
Mrs Anna MARCHETTA, Département des Sciences de la Santé Publique (DSSP)- Informatique Médicale et Biostatistique (IMBS), CHU Sart Tilman (B35), 4000 Liège.
Tél: 04-366.25.90 - Fax: 04-366.25.96
Email: imbs@ulg.ac.be

Assistants
Laurence SEIDEL-VERMEERSCH (coordination)
Tél: 04-366.25.95 - Email: Laurence.Seidel@ulg.ac.be
Laetitia COMTE
Tél: 04-366.94.60 - Email: L.Comte@ulg.ac.be
Anne-Françoise DONNEAU
Tél: 04-366.47.90 - Email: afdonneau@ulg.ac.be
David MAGIS
Tél: 04-366.94.24 - Email: David.Magis@ulg.ac.be
Sophie VANBELLE
Tél: 04-366.47.90 - Email: Sophie.Vanbelle@ulg.ac.be



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