wfarm1247  2018-2019  Bruxelles Woluwe

3 credits
15.0 h + 15.0 h
Q2
Teacher(s)
Bugli Céline (compensates Pircalabelu Eugen); Pircalabelu Eugen;
Language
French
Prerequisites
Mathematical notions.

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
The objective of this course is to give a basic knowledge in the statistical data processing related with the biomedical domain. The course also deals with how computer software, in particular JMP (SAS) can be used to present and analyze data.
The course comprises theoretical lectures and exercise sessions: One- and two-dimensional descriptive statistics. Inferential statistics: populations and samples, probabilities, variables, theoretical distributions, confidence intervals (means, variance, proportion), hypothesis testing based on sample means (Student t-test) and proportions.
Aims
 At the end of this learning unit, the student is able to : 1 This course is designed to introduce the students to the statistical and methodological issues applied to problems in the biomedical sciences and to avoid the common pitfalls in data analysis. At the end of the course the successful student will be able to use the techniques of inferential statistics within the framework of his/her research. The course focuses on the most frequently used statistical methods. The underlying mathematical developments are limited to a strict minimum and replaced by intuitive reasoning and concrete examples, especially via practical exercise sessions. The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled ¿Programmes/courses offering this Teaching Unit¿.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
This course includes lectures and exercises with JMP software. It contains summary of the concepts of descriptive statistics and a two-dimensional: produce useful graphical and numerical summaries like median, standard deviation, variance, interval of confidence.  It focuses mainly on the basic issues of statistical inference: population and sample probabilities, random variables, distribution theory, type 1 and type 2 errors  , confidence intervals (mean, variance, and proportion), and tests of hypotheses related to the mean (Student's t) and proportions.
Evaluation methods
Evaluation based on written evaluation with use of JMP software
Bibliography
• Powerpoints sur Moodle
Teaching materials
• Powerpoints sur Moodle
Faculty or entity
FARM

#### Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [240] in Medecine

Bachelor in Biomedicine

Master [180] in Medecine
3

Bachelor in Medecine

Additionnal module in Pharmacy