Study Programmes 2015-2016
| STAT1750-1 | ||
| Multivariate statistical analysis | ||
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Duration :
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| 10h Th, 10h 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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Language(s) of instruction :
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| French language | ||
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Organisation and examination :
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| Teaching in the first semester, review in January | ||
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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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Course contents :
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The course is a general introduction to the descriptive methods and tests used in multivariate analysis, i.e. the study of several variables simultaneously. The course entails the following chapters:
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Learning outcomes of the course :
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| The course is an introduction to the methods of multivariate data analysis. At the end of the course, the student should have the ability of defining a multivariate problem, analysing the data and interpreting the results. He/she should also be able to understand the use of multivariate methods in the scientific literature. | ||
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Prerequisite knowledge and skills :
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| A good knowledge of univariate statistical methods. | ||
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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 consists of 1h30 of theory and 1h of exercises with SAS. One lecture will be dedicated to SAS.The homeworks can be completed at home by the student. | ||
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Recommended or required readings :
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| Slides and databases will be available for the students Textbooks are: -"Analyse statistique multivariée", A. Albert, édition 2011 - Multivariate statistical methods. D. Morrison, Mc Graw-Hill,Auckland, 1986 - Introduction to multivariate analysis. C. Chatfield et A.J. Collins, Chapman and Hall. ed, London, 1980 | ||
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Assessment methods and criteria :
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| Written examination. | ||
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Work placement(s) :
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Organizational remarks :
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| The course will normally take place on Wednesday afternoon of the first quadrimester in the auditoria of the University hospital (CHU). Please make sure to chek the name of lecture room before the course starts because it could change from one lecture to another. | ||
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Contacts :
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| Enseignant Anne-Françoise DONNEAU (Professeur), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@ulg.ac.be(aalbert@ulg.ac.be Teaching assistant Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email: )ndardenne@ulg.ac.be | ||
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Items online :
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 | Lecture 2 - Multiple regression (I) Material for 7-10-2015 |
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| Cours 3 - Multiple regression (II) Course matriel, solutions and SAS program. |
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| Cours 4 - binary logistic regression Here attached the material and the database for the lecture about binary logistic regression |
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| Cours 5 - Multinomial logistic regression Here attached the material and the database for the lecture about multinomial logistic regression |
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| Cours 6 - Survival (1) Here attached the material and the database for the first lecture about survival analysis |
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| Cours 7 - Survival (2) Here attached the material for the second lecture about survival analysis |
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| Course material - Introduction to SAS course material for the first lecture |
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| Agenda Schedule |
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