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.
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.
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
For the year 2016/2017
No calendar yet available
Exam dates and rounds are managed by the relevant Medicine 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.
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.
The course is aimed at enabling the student to:
- estimate accuracy and precision of measurements performed in the biomedical field;
- properly synthetize and summarize the information collected on a series of patients;
- compute the probability of a single event or several events
- generalize findings from samples to the original population
• Use of statistics in health data
• Collection and presentation of data
• Measurement procedure and Variable types
• Precision and accuracy of a measurement procedure
• Tables 1 and 2 entries
• Absolute and relative frequencies
• Cumulative frequencies
• Graphical representation of the data
• Position and dispersion measures
• Quantiles and median
• Simple and weighted mean
• Range and standard deviation
• Coefficient of variation
• Introduction to probability
• Definition of probability
• Rule of addition and multiplication
• Independent and conditional probability
• Introduction to statistical inference
• The concept of statistical inference
• Inference techniques
• Binomial and Gauss distribution
• confidence intervals
• Hypothesis testing
• Diagnostic and screening test
• Sensitivity, specificity, positive predictive value of screening
Verlato G, Zanolin ME
Esercizi di Statistica Medica, Informatica ed Epidemiologia
Libreria Cortina Editrice, Verona
Douglas G. Altman
Practical Statistics for Medical Research
Lantieri PB, Risso D., Rovida S., Ravera G.
Statistica medica ed elementi di informatica.
McGraw-Hill Libri Italia srl Milano
(OBJECTIVES, CONTENT AND VALUATION MODALITIES)
To pass the examination of the Medical Statistics module, students will have to demonstrate that they have learned the knowledge of the topics they are planning and the ability to apply the statistics to clinical data in an appropriate way.
The Exam of Medical Statistics consists of a written test based on the course contents, with 10 multiple-choice questions (1 point) and a multi-task exercise (1 to 3 points each, total 10 points) .
Examination of the Medical Statistics Form is considered to be passed and maintained valid within the AA if the evaluation is equal or greater than 18/30.
There are 4 appeals: 2 in the Winter Session at the end of the course, 2 in the Summer Session and 2 in the Autumn Session.
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.
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.