Teaching code

4S000206

Credits

8

Coordinator

Rocco Micciolo

Language

Italian

Moodle Seminars 0

The teaching is organized as follows:

Learning objectives

The main objective of the course is to provide the basic knowledge for the use of the main operating systems and their applications and to acquire the fundamental notions and the statistical methodology useful for identifying, understanding and interpreting biomedical phenomena and for the statistical analysis of data at order to plan and carry out an epidemiological study. APPLIED INFORMATICS MODULE Training objectives: Creation and management of a database through the Excel program with the aim of identifying the statistical analyzes most suited to the type of variables and the field of study. Use of indicators and tools for descriptive and bivariate statistical analysis with Excel. Basic epidemiology knowledge. MODULE METHODOLOGY OF RESEARCH APPLIED TO PSYCHIATRY Training objectives: The objectives of the course are to provide students with the tools to understand: 1) what is research in the social-health field; 2) what types of research can be done in psychiatry; 3) what is epidemiological research; 4) what kind of research interests the psychiatric rehabilitation therapist; 5) which tools are needed to find the scientific information useful for professional updating; 6) how to evaluate the quality of research and scientific studies; At the end of the course, the student will have experienced, through work in small groups, planning and carrying out an epidemiological study. MODULE METHODOLOGY OF EPIDEMIOLOGICAL RESEARCH Educational objectives: The course aims to provide the main basic methodological elements of epidemiology that can help the student in understanding the frequency, distribution and causes of diseases. MEDICAL STATISTICAL MODULE Training objectives: The course covers the fundamental concepts of medical statistics, in particular descriptive statistics, and an introduction to inferential statistics, concepts of hypothesis testing and confidence intervals. At the end of the course students should be able to: • describe the data, by means of measures of central tendency and variability; • interpret and communicate appropriately information regarding a group of experimental or patient units, collected in the context of clinical or epidemiological research in relation to biomedical phenomena; • knowing how to construct and interpret a graphic representation of the collected data; • understand the fundamentals of statistical inference to a) correctly interpret the meaning of the confidence intervals of a parameter (average, proportion); b) understand the use and interpret the level of significance (p-value); • being able to read and interpret the statistical results present in the medical literature. Although formulas and computational methods are also presented, particular attention will be paid to data interpretation

Bibliography