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

Exam Board

FILIPPO ANSALDI

LILIANA BELGIOIA

MASSIMO MARESCA

FRANCESCO MASULLI

MARIA PIA SORMANI

GIANNI VIARDO VERCELLI

ROBERTO EGGENHOFFNER (President and Coordinator of Integrated Course)

EXAMS

Exam schedule