Teaching code

4S000290

Credits

4

Coordinatore

Lucia Cazzoletti

Language

Italian

Moodle Seminars

The teaching is organized as follows:

Learning outcomes

STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
The course covers fundamental concepts in medical statistics, in particular descriptive statistics, and it introduces concepts of inferential statistics, such as hypothesis testing and confidence intervals. In addition, the course also presents the basic concepts of epidemiology, describing the prevalence, the incidence and the main measures of association.
By the end of this course students should be able to:
• describe data by means of central tendency and variability measures;
• interpret, and express in a proper manner the information concerning a set of experimental statistical units or patients, gathered in the frame of a clinical or epidemiological survey in connection with biomedical outcomes;
• build and interpret a graphical representation summarizing the gathered data;
• know and use the main measures of occurrence of the diseases and the main measures of association in the field of epidemiology;
• understand the fundamentals of statistical inference to a) understand correctly the meaning of the confidence intervals of a parameter (mean, proportion); b) understand how to use and interpret the significance level (p-value);
• be able to critically read and interpret statistical results presented in the medical literature.
Special attention will be devoted to the interpretation of the data.

SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Evolution and history of information and system technology.
Study of computer software related to information technology with particular goal for using in clinical and medical field.

Program

STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
Medicine, scientific research and statistics
The measurement in medicine: measurement scales, validity, precision and accuracy
Statistical variables and frequency distributions
Description of the distribution of one or more variables (of position and measures of variability, contingency tables)
Introduction to Probability
From the sample to the population: the principles of statistical inference (confidence intervals and test)
How to organize an epidemiological study and what is measured
How to measure the disease in human populations (incidence and prevalence)
How to measure the association between a determinant and a disease (relative risk, attributable risk, odds ratio)

SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
The history of evolution of information processing systems. The structure of modern computing. A program for information processing, particularly in the medical health profession.
Notes on the Evolution of computer systems: from Roman times to the Middle Ages.
Machines for automatic calculation by Leonardo machine to the Pascaline.
The first machines for information processing: the concept of programmability.
The advent of electricity and development of calculating machines: the electro-mechanical machines to machines to vacuum tubes.
Machines for automatic calculation and the war: Enigma coding and concept of information cryptography.
The structure of modern computers; nomenclature.
The hardware part: mass memory, CPU, control logic, input-output devices.
The software part: Boolean logic signs, representations of numbers and coding systems of information.
Concept of operating system and application software.
Excel and the concept of spreadsheets; formulas and mathematical functions, logic, statistics and string manipulation. Automatic graphics and personalization graphics output.
Problems with statistical data processing and management of simple databases. The solutions with Excel.
Processing "visual" and communication: hints for "Powerpoint".

Bibliography

Examination Methods

STATISTICA SANITARIA ED EPIDEMIOLOGICA CLINICA
Written test.

SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Practical exercises by personal computer.