Content of Learning Activity

Basics of statistical hypothesis test : null and alternative hypothesis; unilateral and bilateral tests; power of a test : concept and uses; number of subjects to include in a trial : basics and practical applications
Tests assessing the normality of a distribution : Shapiro-Wilk and Kolmogorov-Smirnov tests; uses and practical examples; graphical methods including QQ plots; data transformations
Comparisons of two means : uses; Z-test; Student t test; Fisher's test for comparison of two variances; Welch's test; Mann-Whitney and Wilcoxon tests; tests in case of paired samples : paired t-test and Wilcoxon paired test
Comparisons of two proportions : uses; relative risk and odds ratio; confidence interval of an odds ratio; contingency tables; chi2 tests and related tests (Yates correction, Mc Nemar); Fisher's exact test
Comparisons of more than two sample means : uses; one-way ANOVA : basics, ANOVA table; homoscedasticity, interpretation of the results of an ANOVA test; non parametric approaches (Kruskal-Wallis and Friedman)
Linear correlation in medicine : how to compute r and its confidence interval (Fisher's transformations); tests on r; test on the slope of the linear regression
Diagnostic tests and introduction to Bayesian reasoning

Required Reading

Note de cours - Statistique II - Notions de statistique médicale - Christophe Lelubre

Required Learning Resources/Tools

Not applicable

Recommended Learning Resources/Tools

Not applicable

Other Recommended Reading

* Thierry Ancelle, Statistique - Epidémiologie (4è Edition). Editions Maloine, 2017
* Jean Bouyer, Méthodes statistiques - Médecine - Biologie. Editions 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)