Duration
15h Th, 15h Pr
Number of credits
| Specialised master in nuclear medicine | 2 crédits |
Lecturer
N...
Language(s) of instruction
French language
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit 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 learning unit
Statistics plays a major role in public health 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.
Prerequisite knowledge and skills
The mathematical knowledge acquired in higher education school should suffice to comprehend the course
Planned learning activities and teaching methods
A total of 15 hours of practice.
In statistics, practice is essentiaL Therefore students are kindly requested to attent all practical sessions. These will take place after the theoretical course for 1 hour. Students can finish their work at home.
Please take with you the lecture notes, a pocket calculator and a pad.
Mode of delivery (face-to-face ; distance-learning)
The course will be given at Institut de Mathématique on Thursdays afternoon from 14h to 18h30 (auditorium 01) and at the following dates: 15/9, 22/9, 29/9, 6/10, 13/10, 20/10 et 27/10/2011.
Recommended or required readings
Students will have to buy the lecture notes "Biostatistics, A. Albert, edition 2011 (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. For students taking also the course "Biostatistique II", there will be a combined exam.
Work placement(s)
Organizational remarks
None
Contacts
Head of Department
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
Nadia DARDENNE - Tél: 04-366.33.40 - Email ndardenne@ulg.ac.be
Anne-Françoise DONNEAU
Tél: 04-366.47.90 - Email: afdonneau@ulg.ac.be