Statistics for Evidence Based Medicine - Clinical Skills

A.Y. 2020/2021
1
Max ECTS
25
Overall hours
SSD
MED/01
Language
Italian
Learning objectives
Undefined
Expected learning outcomes
Undefined
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Responsible
Until attendance in the departments is authorized again, practical resources will be available online to replace professionalizing activities
Course syllabus
Professional activities pursue and are an integral part of the objectives and results of the learning expected from teaching, as they confer the skills and abilities useful for applying knowledge in clinical practice.
Prerequisites for admission
Professional activities pursue and are an integral part of the objectives and results of the learning expected from teaching, as they confer the skills and abilities useful for applying knowledge in clinical practice.
Teaching methods
Withdrawals and analysis laboratory organization
Teaching Resources
Copy of the slides presented during the lectures
R commander manual
Online Help documentation on databases
Assessment methods and Criteria
The learning verification is carried out through two tests that each student must carry out individually using a Personal Computer.
The first test consists of a bibliographic research concerning a clinical pathology, assigned to the student during the evaluation of the professionalizing activity. The student has to answer several questions regarding the description of symptoms, diagnostic methods and therapeutic strategies so to completes an initial summary sheet. The information should be found on the documents referenced in Medline and Health on the Net Foundation. Subsequently specific articles which are related to clinical and epidemiological studies on the assigned pathology need to be searched. This shall be carried out on the PubMed, Scopus and Cochrane Library databases. The search activity also includes considerations on the impact factor of the journals on which the articles are found and the H index of the authors who are most active in the pathology.
The second test consists in the analysis of data using the R software. A data file is assigned to each student in order to perform a statistical analysis, solving issues regarding the synthesis of data by means of graphs and descriptive statistics and regarding comparisons between different therapies and prognostic factors using statistical inference procedures.
The tests described above will be carried out on the same day in which the exams of the statistics and evaluation of evidence in medicine course take place, at the end of the written test.
The results will be communicated through a special form on ARIEL
MED/01 - MEDICAL STATISTICS - University credits: 1
Professional training: 25 hours
Professor: Boracchi Patrizia
Professor(s)
Reception:
On appointment (email)