1. Introduction. Basic concepts in biostatistics. Role of statistics in the research phases. 2. Probability. Theoretical probability distributions. 3. Introduction to study design in Health Sciences. Types of studies in biomedicine. Data analysis techniques. 4. Descriptive statistics. Sampling methods. 5. Statistical theory of hypothesis testing. Hypothesis testing with qualitative variables. Hypothesis testing with quantitative variables. 6. Estimation of population statistical parameters. Regression analysis. Multivariate analysis. 7. Non-parametric statistics. Bayesian statistics.

Classroom lectures. Face-to-face classes: reduced (workshops, seminars, case studies). Student individual work. Final exam. Seminars and lectures supported by computer and audiovisual aids. Practical learning based on cases and problems, and exercise resolution. Individual and group or cooperative work with the option of oral or written presentation. Individual and group tutorials to resolve doubts and queries about the subject.