AIMS AND CONTENT

LEARNING OUTCOMES

To acquire the basic knowledge and the statistical methodology used to identify, understand and interpret biomedical phenomena and statistical analysis of data.

SYLLABUS/CONTENT

The variability of biological, clinical, laboratory, social and environmental. Measurement error.

Statistical nature of the observations.

Frequencies absolute, relative, percentage.

Collection, organization and representation of data.

Synthesis of data: indices of central tendency (medium analytical and location, quantiles) and dispersion indices.

Overview of probability theory: conditional probabilities and independence criterion, the principles of the sum and product.

Probability distributions: Gaussian distribution.

General aspects of statistical inference: population and sample. Confidence intervals of averages and percentages.

Statistical evaluations in the classification of a diagnostic test.

TEACHERS AND EXAM BOARD

EXAMS

Exam schedule