The medical statistics course will give practical tools for the analysis and interpretation of data in clinical research.
Course Prerequisites
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.
Teaching Methods
The plan of the course is based on theoretical sessions and practical section using personal computer.
Assessment Methods
The examination will be oral, it will consist in a slide presentation showing the results of a statistical analysis performed on a dataset, using personal computer. 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).
Texts
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
Contents
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.
Course Language
English
More information
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).
