# INFORMATION PROCESSING SYSTEMS cod. AZ19771

3° year of course - First semester
Professor
Giuseppe PEDRAZZI
Sistemi di elaborazione delle informazioni (ING-INF/05)
Field
Scienze interdisciplinari
Type of training activity
Characterising
10 hours
of face-to-face activities
1 credits
hub: Parma Azienda Ospedaliero-Universitaria
course unit
in ITALIAN

Integrated course unit module: RESEARCH METHODS AND EBN

## Learning objectives

The course aims to enable the student to know and to understand the essential elements of the epidemiology and of statistics useful for nursing research, also in order to achieve the ability to use the knowledge and understanding gained in planning a search for the preparation of the thesis and thereafter conducting a professional activity based on "Evidence-based nursing".
Learning Outcomes
The student at the end of the course, will have to demonstrate knowledge and understanding about:
- basic concepts of epidemiology
- basic principles of medical statistics
The student also, applying the knowledge and understanding acquired, must be capable of set up the necessary steps of preparation of his/her thesis.

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## Course unit content

The lessons deal with elements of epidemiology and statistics useful for the planning of scientific research. The degree thesis is also used as a model for planning a research.

## Full programme

Population and sample
Introduction: medical statistics and related disciplines. Logic and statistical planning. Overview of combinatorial analysis: permutations, arrangements, combinations. Applications. Overview of probability calculations: simple and compound probability, Bayes theorem.
Odds. Odds ratios. Likelihood ratios. applications.
Probability distributions : binomial distribution, Poisson distribution, normal and standard normal distribution. Tables and their use.

Elements of descriptive statistics
Summarising data. Units of measure. Measurements of position, order and variation. Indices of central tendency, mean median, mode.
Indices of variability, variance, standard deviation, CV. Percentiles and their use.

Elements of statistical inference (hypothesis testing)
General principles of statistical inference. Sampling distribution. Hypothesis and hypothesis testing. Type 1 and type 2 error. Power of a test and operating curve.
Parametric test : Student t-test, ANOVA with 1 and 2 classification criteria.
Non-parametric test: Wilcoxon test, Mann-Whitney test, Kruskal-Wallis test, Friedman test, median test, Chi-square test, Fisher exact test.
Overview of linear regression and correlation.

Power of the study and choice of the statistical test

Introduction to Epidemiology

## Bibliography

lecture notes
M.M Triola, M.F. Triola : Fondamenti di Statistica, Ed. Pearson
C. Signorelli «Elementi di metodologia epidemiologica» Ed. Soc.Editrice Universo

## Teaching methods

Lectures will be held on-site in compliance with safety standards, provided that further instructions on the ongoing health emergency are not implemented. Supporting material will be available on the specific, student-reserved platform (Elly) and will include slide presentations, audio-video aids or video-recording of the lectures.

## Assessment methods and criteria

The assessment of the achievement of the objectives foreseen by the course includes a written test with multiple choice questions.

Consultation of the didactic material will be allowed.

Students with disabilities, SLD, BSE must first contact Centro Accoglienza ed Inclusione (CAI) (https://cai.unipr.it/) for support.

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