| STAT0730-2 | |||||
| Biostatistics | |||||
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Duration :
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| 25h 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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| This course is subdivided in two parts. 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. During practical sessions, 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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Prerequisite knowledge and skills :
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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. | |||||
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Recommended or required readings :
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| Slides will be available to the students. Students will have to buy the booklet of exercices (AF Donneau, Presses Universitaires de Liège, 2014, Point de Vue près des grands amphis). Textbook -"Biostatistique", A. Albert,Presses Universitaires de Liège, 2014 - 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 (closed book, only the form with equation is allowed) will take place in January. It lasts for about 4 hours. | |||||
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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
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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Items online :
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![]() | Solution - Confidence interval Here attached the solutions of the exercices about confidence interval |
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![]() | Correction TP - survival analysis Here attached the solutions of the exercices about survival analysis |
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![]() | Form Here attached the form |
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![]() | Materail lecure Here attached the materal for the following lectures |
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![]() | Course material - lecture 1-3 Here attached: the schedule of the course, the material for the first three lectures, as well as a scientific paper used throughout the course. |
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![]() | Course material - lecture 4 Course material for the lecture 2nd October 2015 |
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![]() | Course material Here attached: the material for the two coming lectures (9/10 and 15/10). |
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![]() | Course material 7 - 11 Here attached, the material for the next lectures. |
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