Statistical Methods Applied to Epidemiology and Animal Sciences from Theory to Practice
A.Y. 2024/2025
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Alessandro Bagnato
The aims are to provide statistical skills, for epidemiological purposes, regarding infectious diseases and technopathies of livestock animals, and basic statistics skills helpful both for planning a research study and for understanding the results of experimental tests in animal and veterinary science fields.
The course deals with a general part dedicated to the basic concepts of statistics and the techniques for solving simple experimental analyses using matrix algebra and linear models.
The course will then include an applicative section toward the use of statistical packages both online or installed with a university license (SPSS), for the processing of data from specific case reports and use of the SAS statistical package for the organization of the data, and for the identification of the most suitable statistical procedure for the interpretation of the results.
The course deals with a general part dedicated to the basic concepts of statistics and the techniques for solving simple experimental analyses using matrix algebra and linear models.
The course will then include an applicative section toward the use of statistical packages both online or installed with a university license (SPSS), for the processing of data from specific case reports and use of the SAS statistical package for the organization of the data, and for the identification of the most suitable statistical procedure for the interpretation of the results.
Mandatory for students of Phd programme in "Veterinary and Animal Science" at first year,39th cycle
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
Every day
Remote on MS Teams platform by prior e-mail appointment