 | Study programme 2022-2023 | Français | |
| Statistiques I | |||
Learning Activity |
| Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) | Establishment |
|---|---|---|---|---|
| M-DOYM-051 |
|
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
|---|---|---|---|---|---|---|---|
| Français | Français | 15 | 0 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
Definition and aims of biostatistics.
Variability in medicine. Types of variables.
Univariate descriptive statistics (localisation and dispersion parameters) and graphical output.
Bivariate descriptive statistics (linear correlation and simple linear regression)
Frequency and probability of events. Elements of combinatorics. Conditional probabilities and Bayes theorem. Random variable (discrete and continuous). Probability density function. Central limit theorem. Binomial and Poisson laws. Normal and Z laws. Use of statistical tables.
Required Reading
Note de cours - Introduction aux Statistiques Biomédicalees - Christophe Lelubre
Required Learning Resources/Tools
Not applicable
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
* Thierry Ancelle, Statistique - Epidémiologie (4è Edition). Maloine, 2017
* Jean Bouyer, Méthodes statistiques - Médecine - Biologie. Vuibert, 2017
Mode of delivery
- Face-to-face
Type of Teaching Activity/Activities
- Cours magistraux
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)