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

Academic Year 2017/2018

  • 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

Students completing the course knows statistics and statistical-epidemiological methods applied in biomedical and clinical-care and the health planning and the organization and management of health services. He knows the methods and basic tools and general information technology that provide the conceptual and technological basis for the organization, management and access to information and knowledge.

Course contents

What is statistical, dishonesty statistics, statistics distortions (Bias), definitions, graphical representations of data and use of excel, graphic Dishonesty, The purposes of statistical methods, characters of the units of a population, The classification and data types, the frequency distribution, Indices of a statistical basis. The loss of information and the central value of the classes, absolute and relative frequency distributions percentages, The tables of frequency distributions, The double entry tables, graphical representations: histograms, ortogrammi, diagrams and cartograms, The summary of the observations, Measurements and concept of location and variability, position Measurements: simple and weighted arithmetic average, Median, Mode, Judgment of symmetry of a distribution, location measures for qualitative traits Statistical reports, composition, derivation, incremental. The index numbers. Rates of incidence and prevalence. Quotients generic, specific and standardized mortality. Main indicators of use, process and outcome of hospital Possible study designs - Errors and distortions in clinical trials - hypothesis test - Measurement of outcomes - Measures of diagnostic tests Demonstrate causality, association comparative measurements between medium student's t test, confounding, postulates of Henle-Koch, Hill's causality criteria, cohort studies and case-control Chi square, odds ratio and relative risk. dose-effect correlation, linear regression. Correlation coefficient r

Teaching methods

Lessons include the projection of slides and evidence of learning on the personal computer.

Assessment methods

The examination at the end of the course aims to evaluate the degree of achievement of knowledge and skills obtained and consist in the somministration of a written questionnaire.

Teaching tools

Video, PC, microphone

Office hours

See the website of Paolo Fusaroli