39268 - Statistical and I.T. Workshop (FA)

Academic Year 2019/2020

  • Docente: Paolo Fusaroli
  • Credits: 2
  • Language: Italian
  • Teaching Mode: Traditional lectures
  • Campus: Ravenna
  • Corso: First cycle degree programme (L) in Nursing (cod. 8474)

Learning outcomes

At the end of the course the student knows the statistical and statistical-epidemiological methodologies applied to the biomedical and clinical-assistance field as well as to health planning and the organization and management of health services. He knows the basic and general methodologies and tools of computer science that provide the conceptual and technological basis for the organization, management and access to information and knowledge.

Course contents

Notes on the designs of experimental and observational studies;

Introduction to statistics;

Basic concepts: descriptive statistics and inferential statistics;

Frequency tables and graphic representations;

Synthetic indicators of a distribution: mean, median, mode;

Variability measurements, confidence intervals, precision / bias;

Univariate hypothesis tests;

Prevalence, incidence and association measures;

Health planning on epidemiological bases;

Critical analysis of a research protocol;

Critical reading of a scientific article;

Information technology as a tool for health management and access to information;

Practical exercises on PC;

Each topic includes the theoretical discussion and the presentation of examples and articles taken from the literature to stimulate understanding and critical reading.

Readings/Bibliography

The teaching material consists of the slides presented during the course and distributed to the students before each lesson. Some scientific literature articles constitute further teaching material.

Teaching methods

The teaching method makes use of lectures and interactive exercises with the use of PC with MS Excel program and discussion of scientific articles.

Assessment methods

The verification is carried out through a learning test with multiple choice questions on the topics covered during the lessons.

Teaching tools

The teaching material consists of slides and articles taken from the scientific literature.

Office hours

See the website of Paolo Fusaroli