Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2020/2021
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3° Year activated in the A.Y. 2021/2022
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Statistical methods (2020/2021)
The teaching is organized as follows:
Learning outcomes
APPLIED INFORMATICS MODULE Training objectives: The course aims to provide students with basic knowledge on the functioning of a computer and on the storage and management of health data. Students will use the spreadsheet for data synthesis and representation and will retrieve information from bibliographic databases. MODULE PSYCHOMETRY Educational objectives: This module provides two educational objectives related to data collection using the questionnaire tool. The first objective concerns the construction of a questionnaire, the adaptation of an already existing instrument and the different methods of administration. The second objective envisages an introduction to the statistical package R aimed at acquiring the basic skills necessary for the analysis of the data collected through a questionnaire and verification of its psychometric properties. MODULE OF MEDICAL STATISTICS AND CLINICAL EPIDEMIOLOGY Educational objectives: The educational path aims to make students able to: describe and interpret information regarding a set of data; know and interpret the main frequency and association measures in the epidemiological field.
Program
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MM: STATISTICA MEDICA E EPIDEMIOLOGIA CLINICA
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MEDICAL STATISTICS • Collection and presentation of data: measurement, types of variables and measurement scales; sensitivity and specificity of a measurement procedure; one-way and two-way tables; absolute and relative frequencies; cumulative frequencies. • Measure of position: mode, median, quantiles, reference range, arithmetic and weighted mean. • Measures of spread: range, standard deviation, coefficient of variation, interquartile range. - Basic notions of inferential statistics (confidence intervals and hypotesis testing) - The Normal distribution EPIDEMIOLOGY • Introduction to epidemiology: definition of epidemiology; outcome, occurrence parameter, determinant. • Measure of occurrence: incidence, cumulative incidence, prevalence. • Measure of association: attributable risk, relative risk, odds ratio; confounding and effect modifiers. • Diagnostic and screening tests: sensitivity, specificity, positive predictive value of a screening test. • Design of Health studies: introduction to cross sectional studies, cohort studies, case-control studies, clinical trial ∗ Lantieri PB, Risso D, Ravera G (2007) Statistica. McGraw-Hill Libri Italia srl: Milano ∗ Swinscow TDV, Campbell MJ. Le basi della Statistica per scienze bio-mediche. Edizioni Minerva Medica S.p.A., Torino, 2004. ∗ Fowler J, Jarvis P, Chevannes M (2006) Statistica per le professioni sanitarie. EdiSES srl, Napoli ∗ Verlato G, Zanolin ME (2000) Esercizi di Statistica Medica, Informatica ed Epidemiologia. Editrice Libreria Cortina Verona. ∗ Lopalco PL, Tozzi AE. Epidemiologia facile.(2003) Il Pensiero Scientifico Editore, Roma.
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MM: INFORMATICA APPLICATA
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The course is structured in frontal lectures (20 h). 1) Collection, archiving and management of health data - functioning and components of a computer - data sources - construction of a questionnaire - data coding - data matrix (table) - identification keys 2) Using Microsoft Excel spreadsheet - loading data - formatting - cell formats - using and creating formulas - descriptive statistics - graphs - Pivot tables 3) Retrieval of bibliographic information from PubMed - Boolean operators - simple search - complex search - Single Citation Matcher - Medical Subject Headings
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MM: PSICOMETRIA
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A brief description of the program: L1. How to write the items of a questionnaire, to collect data and prepare a database; L2. Preparation of the database (continue), coding of the variables and transformation of the reverse; L3. Analysis of the quality of the data and of the scale; L4. Introduction of : JAMOVI descriptive statistics and reliability of the scale; L5. Exploratory factor analysis reference: Chiorri, C. (2011). Teoria e tecnica psicometrica. Milano: McGraw-Hill.
Bibliography
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Jekel JF, Katz DL, Elmore JG, Wild DMG | Epidemiologia, Biostatistica e Medicina Preventiva | Elsevier-Masson | 2009 | ||
| Verlato G, Zanolin ME | Esercizi di Statistica Medica, Informatica ed Epidemiologia | Libreria Cortina Editrice, Verona | 2000 | ||
| Lilienfield A, Lilienfield DE | Fondamenti di Epidemiologia. (Edizione 1) | Piccin | 1986 | ||
| Corrao, Salvatore | Conoscere e usare Pubmed : guida al più noto sistema di ricerca bibliografica in campo biomedico | Il pensiero scientifico | 2008 | 978-88-490-0256-0 | |
| Simona Villani, Paola Borrelli | Excel & statistica medica. Guida pratica per le professioni sanitarie | Medea | 2013 | 978-88-6693-048-8 | |
| Bassi, Chiara | Pubmed : istruzioni per l’uso | Il Pensiero scientifico | 2010 | 978-88-490-0335-2 | |
| K.J. Rothman | Epidemiologia | Idelson-Gnocchi | 2007 | ||
| Lopalco, Pier Luigi e Tozzi, Alberto Eugenio | Epidemiologia facile | Il pensiero scientifico | 2003 | ISBN 88-490-0081-2 | |
| Fowler J, Jarvis P, Chevannes M | Statistica per le Professioni Sanitarie | EdiSES srl, Napoli | 2006 | ||
| Carlo Chiorri | Teoria e tecnica psicometrica. Costruire un test psicologico | McGraw-Hill Education | 2011 |
Examination Methods
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MM: STATISTICA MEDICA E EPIDEMIOLOGIA CLINICA
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Written exam with multiple-choice tests and exercises; if this test is passed, then an oral interview will be carried out (optional).
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MM: INFORMATICA APPLICATA
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The final exam consists of a practical computer exercise and a written test (or an oral test in case of remote teaching) with multiple-choice and open questions. A remote oral test is guaranteed for all students who will ask for it in the 2020/21 academic year. The objectives of the test are to verify the knowledge of the topics discussed, to verify the ability to perform calculations and to produce data visualisations with the support of a spreadsheet, and to verify the ability to perform a bibliographic search. The final evaluation is expressed in 30ths.
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MM: PSICOMETRIA
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Written exam in two parts: the first is composed of 6 items with multiple choice the second part is composed of exercises on Excel and JAMOVI
