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. 2019/2020
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3° Year activated in the A.Y. 2020/2021
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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.
Evidence-based obstetrics - STATISTICA MEDICA ED EPIDEMIOLOGIA CLINICA (2020/2021)
Teaching code
4S000032
Teacher
Credits
2
Language
Italian
Scientific Disciplinary Sector (SSD)
MED/01 - MEDICAL STATISTICS
Period
3° ANNO 1° SEMESTRE dal Nov 18, 2020 al Dec 22, 2020.
Location
VERONA
To show the organization of the course that includes this module, follow this link: Course organization
Learning outcomes
The aim of the course 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 and bio-statistics. At the end of the course, the student must demonstrate to have understood the basic bio-statistical methods applied to epidemiology and the elements of an epidemiological study.
Program
The course is structured in remote theoretical lessons (24h).
The teaching material is made available to the students on the e-learning web page of the course (Moodle platform).
Collection and organization of biomedical data:
- stages of a statistical research;
- population, sample and statistical units;
- measurement process and measurement scales;
- validity, accuracy and precision of a measuring instrument;
- absolute, relative and cumulative frequencies;
- one and two-way frequency tables.
Graphical representation of biomedical data:
- pie chart;
- bar chart;
- histogram;
- cumulative frequency polygon.
Measures of location and dispersion:
- mode;
- percentiles and median;
- simple and weighted arithmetic mean;
- range;
- interquartile range;
- deviance, variance and standard deviation;
- coefficient of variation.
An introduction to probability theory:
- definition of probability;
- axiomatic theory of probabilities;
- rules of probability calculation;
- independent and conditional probabilities;
- Bernoulli and Gauss distributions.
Diagnostic and screening tests:
- sensitivity and specificity.
The objects of epidemiology:
- outcome;
- measures of disease frequency (prevalence, cumulative incidence, incidence rate);
- determinant.
The occurrence relationship:
- measures of absolute effect (attributable risk);
- measures of relative effect (relative risk, odds ratio).
The epidemiological studies:
- ecological study;
- cross-sectional study;
- case-control study;
- cohort study;
- clinical trial.
An introduction to statistical inference:
- point estimate;
- confidence interval;
- statistical test.
| 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 | ||
| Verlato G, Zanolin ME | Esercizi di Statistica Medica, Informatica ed Epidemiologia | Libreria Cortina Editrice, Verona | 2000 | ||
| Fowler J, Jarvis P, Chevannes M | Statistica per le Professioni Sanitarie | EdiSES srl, Napoli | 2006 |
Examination Methods
The final test is a written exam in presence with short answer questions and multiple choice questions.
The remote exam is however guaranteed for all students who request it in the academic year 2020/21.
The aim of the test is to verify the knowledge of all the topics discussed.
The final evaluation is expressed in thirtieths.
