Nursing and midwifery sciences | University of Parma

Professor: Giuseppe PEDRAZZI
Academic discipline: Sistemi di elaborazione delle informazioni (ING-INF/05)
Field: Scienze informatiche applicate alla gestione sanitaria
Type of training activity: Characterising

24 hours
of face-to-face activities

3 credits

hub: -

course unit
in ITALIAN

lectures timetable unavailable

exam calls

Integrated course unit module: METHODS OFNURSING AND MIDWIFERY RESEARCH II

Learning objectives

Introduce to the student the use of modern information processing systems and make it able to autonomously produce models and data elaborations of increasing complexity.

Prerequisites

basic knowledge of univariate statistics.

Course unit content

The course will cover the use of various types of software, particularly developed for Statistics and numerical calculation, and the elaboration of clinical and biological data.

Full programme

Introduction to R, Jasp, Jamovi,
IBM-SPSS.
Descriptive analysis. Exploring data with graphs.
Non-parametric methods and models.
Correlation and regression.
ANOVA, ANCOVA and Repeated measures ANOVA. Factor models.
Logistic Regression.
Survival analysis.

Bibliography

Notes and material of the lessons.
Internet resources

Some hopefully useful texts:
1) Field A.P., Miles J., Field Z. "Discovering Statistics using R", ed. SAGE
2) Field A. "Discovering Statistics Using IBM SPSS" ed. SAGE
3) Davies T.M. "The Book of R. A first course in programming and statistics" ed. No Starch Press

Teaching methods

The course will be held through lectures to Students either in the classroom (“in presenza”) or in synchronous-streaming (“in telepresenza”) on the Teams platform. Therefore, the opportunity of Student/Teacher interaction will be preserved both face to face and remotely, by the simultaneous use of the Teams platform.
Lectures will be supported by slide presentations, which will be available to students on the Elly platform (https://elly.medicina.unipr.it).

Assessment methods and criteria

The learning verification test will consist of the preparation of a database of clinical data and the production of an appropriate written report to be presented and discussed in the examination context.
In the event of a health emergency, the discussion will take place remotely.

Other information

2030 agenda goals for sustainable development

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INFORMATION PROCESSING SYSTEMS cod. 19771