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. 2018/2019
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3° Year activated in the A.Y. 2019/2020
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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 (2018/2019)
The teaching is organized as follows:
Learning outcomes
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MM: STATISTICA MEDICA E EPIDEMIOLOGIA CLINICA
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The course aims to make students able to: describe and interpret the informations about a set of data; know and interpret the main measures of frequency and association in the epidemiological field.
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MM: INFORMATICA APPLICATA
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The course aims to provide students with basic knowledge on the functioning of a computer and on archiving and management of health data. Students will use the spreadsheet for data synthesis and representation, and they will retrieve information from bibliographic databases.
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MM: PSICOMETRIA
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The lectures are focus on two aims related to the collection of data trough a questionnaire. The first aim concerns the construction of a new questionnaire, the adaption of an existing instrument and the different ways of data collection. The second aim concerns an introduction on the R package software for data analysis to be able to verify the psychometric properties of the questionnaire.
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. 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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1) Basic IT concepts - functioning of a computer - hardware, operating system, software - binary logic 2) Archiving and management of health data - data sources - construction of a questionnaire - data coding - data matrix (table) - identification keys 3) Using Microsoft Excel spreadsheet - loading data - formatting - cell formats - using and creating formulas - descriptive statistics - graphs 4) 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 R: 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 |
|---|---|---|---|---|---|
| Lantieri PB, Risso D, Ravera G | Elementi di Statistica Medica | McGraw-Hill | 2007 | ||
| Jekel JF, Katz DL, Elmore JG, Wild DMG | Epidemiologia, Biostatistica e Medicina Preventiva | Elsevier-Masson | 2009 | ||
| Lopalco, Pier Luigi e Tozzi, Alberto Eugenio | Epidemiologia facile | Il pensiero scientifico | 2003 | ISBN 88-490-0081-2 | |
| Verlato G, Zanolin ME | Esercizi di Statistica Medica, Informatica ed Epidemiologia | Libreria Cortina Editrice, Verona | 2000 | ||
| Villani S, Borrelli P | Excel & Statistica Medica | Medea s.r.l. Pavia | 2013 | ||
| 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 | |
| Storchi, Mario R. | La nuova ECDL più full standard | Edizioni Manna | 2016 | 978-88-87752-95-3 | |
| Bassi, Chiara | Pubmed : istruzioni per l’uso | Il Pensiero scientifico | 2010 | 978-88-490-0335-2 | |
| Vito M. R. Muggeo Giancarlo Ferrara | Il linguaggio R : concetti introduttivi ed esempi | 2005 | |||
| Dennis Howitt, Duncan Cramer | Introduzione alla statistica per psicologia. Con MyLab. Con e-book. Con espansione online. | Pearson Education Italia | 2014 |
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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Practical computer exercise and written test.
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MM: PSICOMETRIA
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Written exam with exercises on Excel and R package
