STATISTICS FOR EXPERIMENTAL AND TECHNOLOGICAL RESEARCH

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

General Module

Course Sheet

Course code:

IN11A1C

Academic Year of enrolment:

2019

Year of supply:

2019/2020

Type of Course:

Characterising

Degree:

Course of 1st Cycle Degree in NURSING

Disciplinary Sector:

Statistics for Experimental and Technological Research

Is part of:

BASIC SCIENCES

Location:

CHIETI

Credits:

Programme Year:

Professor and Collaborators:

DI NICOLA MARTA

Cycle:

First semester

Obligatory attendance:

Yes

Hours of classroom activity:

Individual study hours:

Prerequisites:

The proposed program will allow also students who have not previously matured
Disciplinary knowledge to achieve the indicated goals. There are therefore no strict prerequisites, but we recommend a mathematical knowledge as teached in all high school programs.

Objectives

The course aims to make students aware of the usefulness of the statistical method in order to take decisions on a rational basis and to critically evaluate information from scientific literature, concerning analyses of data collected in Biomedical and health sector, and to rationally justify some diagnostic procedures and some indicators of health care and the evaluation of service activities.

Contents

The course aims to provide the basic statistical knowledge for research in the biomedical field (e.g. the different experimental designs, efficient data presentation).

Extended Syllabus

• Evaluation of diagnostic tests. Sensitivity definitions (SE), specificity (SP), positive predictive values (VPP), and negative (VPN).
• Techniques of determination of the curves ROC
• Elements of probability calculation. Definition of probability. Calculation of the probabilities of mutually exclusive, independent and conditioned events.
• Critical reading of articles related to topics related to the CdS with significant content of biostatistics.

Recommended Bibliography

Copy of the slides used during the lessons and bibliographic material available on-line at www.biostatistica.unich.it
Fowler J, Jarvis P, Chevannes M. Statistica per le professioni sanitarie. EdiSES S.r.l. – Napoli

Teaching Methods

Classroom lessons

Evaluation methods

Verification of learning:

Written and oral examination.

Contacts/More Information

Students will be received by the teacher by appointment to be agreed by e-mail to the address eballone@unich.it

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

Aree