2020/2021

2021/2022

DM270

MED/01 (MEDICAL STATISTICS)

DEPARTMENT OF MOLECULAR MEDICINE

MEDICAL AND PHARMACEUTICAL TECHNOLOGIES

Medico: Biotecnologie mediche e ricerca biomedica

2°

2nd semester (28/02/2022 - 10/06/2022)

3

24 lesson hours

Italian

WRITTEN TEST

MONTI MARIA CRISTINA (titolare) - 3 ECTS

The course is part of the students' basic training for a Biotechnologist who will work in the pharmaceutical medical field. In order to better follow the course, the student must have attended and acquired basic skills in Biostatistics and / or Medical Statistics in the three-year Degree course.

The medical statistics course will give practical tools for the analysis and interpretation of data in clinical research.

How to learn and apply which are the right statistical methods to identify factors significantly associated to outcomes related to clinical and experimental research.
Specifically, we will work using association analysis, linear and logistic regression frameworks.
Brief theoretical lectures and practical sessions using excel will be used.
Special focus: genetic and pharmacogenetic association analyses using PLINK.

The plan of the course is based on practical section using personal computer.

MM Triola, MF Triola. STATISTICA PER LE DISCIPLINE BIOSANITARIE. McGraw-Hill Ed.
MC Whitlock, D Schluter. ANALISI STATISTICA DEI DATI BIOLOGICI. Zanichelli
Ziegler A, König A. Statistical Approach to Genetic Epidemiology. Wiley-Blackwell, 2010

The examination will be written and performed using personal computer (problem solving approach). The student must demonstrate not only the ability to know and apply the correct techniques of analysis (knowledge and skills), but to be able to interpret the results obtained and communicate in a scientifically correct way the evidence found (competence).

Students can contact the Professor by e-mail (cristina.monti@unipv.it) to arrange for day and reception hours at the professor’s workplace (Dept. of Public Health, Experimental and Forensic Medicine, U.O. of Biostatistics and Clinical Epidemiology, Via Forlanini 2).