Biostatistics 2

Duration

15h Th, 15h Pr

Number of credits

Lecturer

Anne-Françoise Donneau

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

This course is the second part of the teaching of Biostatistics at the Faculty of Medicine. It addresses more advanced statistical methods, such as one-way and two-way analysis of variance (ANOVA), contingency tables,  non-parametric statistical techniques and survival analysis.
Each lesson consists of a theoretical exposition of the method followed by a session of practical applications with SAS software, where the student will get used to solve statistical problems encountered in daily practice.

This course is the second part of the teaching of Biostatistics at the Faculty of Medicine. It addresses more advanced statistical methods, such as one-way and two-way analysis of variance (ANOVA), contingency tables,  non-parametric statistical techniques and survival analysis.
Each lesson consists of a theoretical exposition of the method followed by a session of practical applications with SAS software, where the student will get used to solve statistical problems encountered in daily practice.

Learning outcomes of the learning unit

The course is intended to improve and enhance the use of biostatistics in health sciences, by insisting on statistical reasoning and problem solving rather than on the mathematics and the complexity of formula. Students should be able to carry out an in-depth statistical analysis of a dataset resulting from an experiment or a survey, in particular with respect to the thesis they will prepare later on in their cursus.

Prerequisite knowledge and skills

Prerequisite: STAT1001-1 or some equivalent statistical course.

Planned learning activities and teaching methods

Total: 15 hours
In statistics, practice is most important. Students are therefore requested to attend the practicals. 
Practicals will start on Thursday 28 septembre 2017 at Salle informatique Lapière (CHU, B36). The last session will be on 23 november 2017.

Mode of delivery (face-to-face ; distance-learning)

The course will start on Thursday 6 October 2016 at 13h30. In general, the course lasts until 15h30 with 10-15 break. The last course will be on 1 December 2016. All courses will take place at Salle informatique Lapière (CHU, B36).

Recommended or required readings

Slides and databases will be available to the students
Textbook "Biostatistique", A. Albert,Presses Universitaires de Liège, 2014 P. Dagnelie. Statistique Théorique et Appliquée. De Boeck Université, Bruxelles, 1999. D. Schwartz. Le jeu de la science et du hasard. La statistique et le vivant. Flammarion, Paris, 1994. D.G. Altman. Practical statistics for medical research. Chapman & Hall, London, 2000.

Slides and databases will be available to the students
Textbook "Biostatistique", A. Albert,Presses Universitaires de Liège, 2014 P. Dagnelie. Statistique Théorique et Appliquée. De Boeck Université, Bruxelles, 1999. D. Schwartz. Le jeu de la science et du hasard. La statistique et le vivant. Flammarion, Paris, 1994. D.G. Altman. Practical statistics for medical research. Chapman & Hall, London, 2000.

Assessment methods and criteria

A written test will take place in January and last about 3hours. 

Work placement(s)

Organizational remarks

Contacts

* Anne-Françoise DONNEAU (Professor), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@ulg.ac.be(aalbert@ulg.ac.be   )

* Assistant : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@ulg.ac.be
* Secretary : Anna MARCHETTA, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.25.90 - Email:bstat@ulg.ac.be