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.
Academic calendar
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
| Period | From | To |
|---|---|---|
| I sem. | Oct 3, 2016 | Jan 31, 2017 |
| II sem. | Mar 1, 2017 | Jun 9, 2017 |
| Session | From | To |
|---|---|---|
| Sessione invernale Appelli d'esame | Feb 1, 2017 | Feb 28, 2017 |
| Sessione estiva Appelli d'esame | Jun 12, 2017 | Jul 31, 2017 |
| Sessione autunnale Appelli d'esame | Sep 1, 2017 | Sep 29, 2017 |
| Session | From | To |
|---|---|---|
| Sessione estiva Appelli di Laurea | Jul 19, 2017 | Jul 19, 2017 |
| Sessione autunnale Appelli di laurea | Oct 18, 2017 | Oct 18, 2017 |
| Sessione invernale Appelli di laurea | Mar 21, 2018 | Mar 21, 2018 |
| Period | From | To |
|---|---|---|
| Festa di Ognissanti | Nov 1, 2016 | Nov 1, 2016 |
| Festa dell'Immacolata Concezione | Dec 8, 2016 | Dec 8, 2016 |
| Vacanze di Natale | Dec 23, 2016 | Jan 8, 2017 |
| Vacanze di Pasqua | Apr 14, 2017 | Apr 18, 2017 |
| Anniversario della Liberazione | Apr 25, 2017 | Apr 25, 2017 |
| Festa del Lavoro | May 1, 2017 | May 1, 2017 |
| Festa della Repubblica | Jun 2, 2017 | Jun 2, 2017 |
| Vacanze estive | Aug 8, 2017 | Aug 20, 2017 |
Exam calendar
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
Should you have any doubts or questions, please check the Enrolment FAQs
Academic staff
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 enrolment year.
| Modules | Credits | TAF | SSD |
|---|
| Modules | Credits | TAF | SSD |
|---|
1° Year
| Modules | Credits | TAF | SSD |
|---|
2° Year
| Modules | Credits | TAF | SSD |
|---|
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.
Epidemiological methods and clinical epidemiology (2016/2017)
Teaching code
4S004562
Academic staff
Coordinatore
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
I sem. dal Oct 3, 2016 al Jan 31, 2017.
Learning outcomes
The aim of the course "Epidemiological methods and clinical epidemiology" is to provide the theoretical and practical tools for assessing the frequency of diseases in human populations and the associated risk factors. The course therefore aims to provide expertise in epidemiology, bio-statistics and information technology applied to biomedical data analysis. At the end of the course, the student must demonstrate to have understood the main bio-statistical methods applied to epidemiology and how to apply these methods to analyse data using a statistical software.
Program
The course is structured in theoretical frontal lessons (32h) and in practical lessons (24h) on the use of a statistical software (STATA) for the quantitative analysis of biomedical data.
1. Introduction to epidemiology
- Definition and key features
- Traditional classification of epidemiology
- John Snow and cholera outbreaks in London
2. Measures of occurrence
- Outcomes
- Prevalence
- Cumulative incidence
- Incidence rate
3. Measures of association and public health impact
- Determinants
- Epidemiological associations
- Attributable risk (AR) and AR%
- Relative risk (RR) and Odds ratio (OR)
- Effect modification
- Population attributable risk (PAR) and PAR%
4. Types of epidemiological studies
- Ecological studies
- Cross-sectional studies
- Cohort studies
- Case-control studies
- Experimental studies
5. Causal interpretation of an empirical association
- Statistical vs. causal associations
- Causal models in epidemiology
- Validity of a study (random error, bias, confounding)
- Types of bias
- Methods to control confounding
- Hill’s positive criteria for causality
6. Principles of inference
- Principles of sampling
- Point estimate and sampling distribution
- Confidence interval
- Hypothesis test
- Test of significance
7. Stratified analysis
- Effect modification vs. confounding
- Stratum-specific estimates
- Testing homogeneity
- Pooled estimate
- Testing the stratified null hypothesis of no association
8. Basic statistical models in epidemiological research
- Linear regression model
- Logistic regression model
9. Statistical methods for survival analysis
- Kaplan-Meier non-parametric estimator
- Cox regression model
| Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|
| Marubini E, Valsecchi MG | Analysing Survival Data from Clinical Trials and Observational Studies | John Wiley & sons | 1995 | ||
| Pearce N | A short Introduction to Epidemiology (Edizione 2) | 2005 | https://vula.uct.ac.za/access/content/group/9c29ba04-b1ee-49b9-8c85-9a468b556ce2/DOH/Module%202%20(Bio_Epi)/Epidemiology/EPIDEMIOLOGY/Pearce.pdf | ||
| Hennekens CH, Buring JE | Epidemiology in Medicine | Lippincott Williams & Wilkins | 1987 | ||
| McCullagh P, Nelder JA | Generalized Linear Models (Edizione 2) | Chapman and Hall/CRC | 1989 | ||
| Rothman KJ, Greenland S, Lash TL | Modern Epidemiology (Edizione 3) | Lippincott Williams & Wilkins | 2008 | ||
| Glantz SA | Statistica per Discipline Biomediche (Edizione 6) | McGraw-Hill | 2007 | 9788838639258 |
Examination Methods
The final test is a written exam in computer lab. The test is the same for attending and non-attending students.
The aim of the test is to verify the knowledge of all the topics discussed and the ability to solve a biomedical problem by analyzing health data using the statistical software STATA.
The commands, results and interpretation of the analysis are reported in written form. In addition, students have to answer some questions to ascertain the understanding of theory.
The final evaluation is expressed in thirtieths.
Bibliography
Type D and Type F activities
Modules not yet included
Career prospects
Module/Programme news
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
Further services
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Graduation
Attendance
As stated in point 25 of the Teaching Regulations for the A.Y. 2021/2022, attendance at the course of study is not mandatory.Please refer to the Crisis Unit's latest updates for the mode of teaching.
