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| STAT0730-2 | Biostatistics
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| Duration : | 30h Th, 20h Pr |
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| Number of credits : |
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| Lecturer : | Nadia Dardenne, Bernard Vrijens |
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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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Course contents :
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| This course is subdivided in two parts of 25 hours each.
In the first part, we start by giving an introduction to descriptive statistical methods which permit to summarize a data set either graphically or numerically. Then we turn to inferential statistics, the basis of scientific reasoning, which consist in making conclusions on a population from a random sample drawn from it. The student will learn about classical statistical tests and the use of statistical tables (random numbers, Normal, Student t, Snedecor F and chi-squared distributions).
The second part of the course tackles more advanced statistical methods, like regression, one-way and two-way analysis of variance, contingency tables and non-parametric techniques.
Each course consists of a theoretical lecture followed by a practical session, where the student will be trained in the treatment of data applications encountered in practice. |
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Learning outcomes of the course :
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| The course is intended to get students familiar with statistical problems and data analysis. Emphasis is placed on the scientific reasoning rather than on the mathematical aspects of statistics or the formula to use. Students should have a sufficiently solid knowledge in statistics for the years ahead, and in particular for the thesis they have to write at the end of their curriculum. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| The mathematical training received in bachelor years is sufficient to take the course. As already mentioned, emphasis is placed the potential of statistical methods in experimental design and scientific research. |
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Planned learning activities and teaching methods :
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| The practical sessions take place in the fisrt quadrimester as do the courses (see time plan with the paedagogical secrétarial office).
Exercises can be finished at home if necessary. |
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Mode of delivery (face-to-face ; distance-learning) :
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| The lectures take place in the first quadrimester at CHU. |
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Recommended or required readings :
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| Students will have to buy the lecture notes "Biostatistics, A. Albert, edition 2014" at 'Presses Universitaires de Liège' near the large lecture halls at the price of 15 EUR. This book contains the course material as well as 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. Students will also have to buy the corresponding booklet of exercices.
Textbook
- Introduction to Statistical Analysis. W.J. Dixon et F.J. Massey. McGraw Hill, 1983 |
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Assessment methods and criteria :
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| A written exam will take place in January. It lasts for about 4 hours. Any score of 10 or more will be considered as a success. All exams are written exams and students can used their lectures notes or any other documents. Exams are scored 0-20.
Exercises will be evaluated regularly to assess the student's level in statistics. |
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| Lecturer
Bernard VRIJENS (suppléant et chargé de cours adjoint) - CHU Sart Tilman (B23), 4000 Liège.
Tél: 04-366.33.40 - Fax: 04-366.25.96
Email: ndardenne@ulg.ac.be
Secretary
Mme Anna MARCHETTA, Département des Sciences de la Santé Publique (DSSP), CHU Sart Tilman (B23), 4000 Liège.
Tél: 04-366.25.90 - Fax: 04-366.25.96
Email: imbs@ulg.ac.be
Teaching assistant
Nadia DARDENNE, Département des Sciences de la Santé Publique, CHU Sart Tilman (B23), 4000 Liège
Tél: 04-366.33.40 - Email: ndardenne@ulg.ac.be |
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