| STAT0007-1 | |||||
| Advanced statistics in epidemiology | |||||
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Duration :
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| 10h Th, 15h Pr | |||||
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Number of credits :
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Lecturer :
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| Nadia Dardenne, Anne-Françoise Donneau | |||||
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Coordinator :
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| N... | |||||
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Language(s) of instruction :
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| French language | |||||
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Organisation and examination :
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| Teaching in the second semester | |||||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | |||||
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Learning unit contents :
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The course consists of an in-depth study of multivariate statistical methods (in particular, the binary logistic regression) and the impact on these methods of problems encourtered on real data as well as the possible solutions. The course will focus on the following themes:
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Learning outcomes of the learning unit :
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| The objective of the course is to introduce, practically, multivariate statistical methods frequently used in epidemiology. At the end of the course, the student must be able to present the problem, apply the analysis using the SAS software and expose clearly the derived results .He must also be able to understand the presentation of multivariate methods in the scientific literature. | |||||
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Prerequisite knowledge and skills :
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| Prerequisite: STAT1750-1 good knowledge of multivariate statistical analysis. | |||||
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Planned learning activities and teaching methods :
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| The practical sessions consist in analysing mulltivariate datasets by means of the statistical package SAS. | |||||
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Mode of delivery (face-to-face ; distance-learning) :
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| Each course will switch between theory and practice with the SAS software. One lesson will be dedicated to an introduction of this software. At the beginning of each lesson, students will have to present/introduce (during 15 minutes) the theme of the day individually or per group. Articles or part of chapters will be made available to the students to help them this exercise. | |||||
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Recommended or required readings :
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| Slides as well as databases used during the courses will be made available to the students. | |||||
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Assessment methods and criteria :
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| Practice exam on computer. It will take place in June and last about 2 hours. | |||||
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| * Anne-Françoise DONNEAU (Chargée de cours), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@ulg.ac.be
* Assistante : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email: ndardenne@ulg.ac.be * Secrétariat : Anna MARCHETTA, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.25.90 - Email: bstat@ulg.ac.be |
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