The course provides advance knowledge about experimental designs and data analysis

Course description:

•  Critical review of basic principles of Biostatistics.
•   Introduction to statistical software for data analysis and Interpretation
• Parametric and non parametric tests for a population mean, proportion or variance and for comparing two population means, proportions or variances.
• Chi-Square test of independence.
• Analysis of variance and multiple comparisons tests.
• Regression analysis (simple linear regression and correlation, multiple regression, non linear regression).
• Analysis of Covariance.
• Multivariate methods (Principal Component analysis, Discriminant analysis, Cluster analysis).
• Quality control and Sampling methods.

Teaching aids: Slides, Textbook and Statistical packages.

Examination: Assignment and Oral