Statistical analysis, from the examination of experimental data, to the biological conclusions. Critical evaluation of experimental planning, sampling methods and the likelihood of results. Draw scientific conclusions from the confidence interval and risk of error represented in tables and graphs. Bioinformatique : under revision
I. Biostatistics 1. Inference methods on average; 2. Inference methods on variances; 3. ANOVA I and post hoc comparisons 4. Analysis of variance with two criteria for classification and more - Setting expected mean squares and determining the tests - Models and hierarchical cross-fixed, random and mixed. II. Introduction to Bioinformatics Under Review
Oral examinations, preceded by a preparation on a computer. Diagnosis, calculation and interpretation of quantitative problem posed in the context of biology.