STATISTICS IN SCIENTIFIC RESEARCH II

General Module

Course Sheet

Course code:

SI21B2B

Academic Year of enrolment:

2020

Year of supply:

2021/2022

Type of Course:

Characterising

Degree:

Course of 2nd Cycle Degree in NURSING AND MIDWIFERY SCIENCES

Disciplinary Sector:

Medical Statistics

Is part of:

APPLIED SCIENCES IN RESEARCH - II

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 also allow students who have not previously matured
Disciplinary knowledge to achieve the training objectives indicated. There are therefore no prerequisites, but we recommend a knowledge of the notions of mathematics present in all high school programs.

Objectives

GENERAL TARGET

At the end of the course students should be able:
To use epidemiological and bio-statistical tools for a better understanding of biomedical information and for improving medical decision making.

INTERMEDIATE TARGETS
At the end of the course students should be able to:

Organize collected data;
• Construct and interpret graphs;
• Describe the differences between the different measuring scales;
• To calculate the most common indices of central trend and variability of the data;
• Analyze frequency distribution curves;
• Use some inferential statistical techniques.

Autonomy of Judgement: At the end of the course students should be able to reading articles related to topics related to the CdS with significant content of biostatistics.

Communication skills: At the end of the course students should be able to use the technical language of medical statistics

Contents

The course aims to provide the basic knowledge of medical statistics for the analysis of biomedical data and the interpretation of the phenomena analysed.

Extended Syllabus

• Elements of probability calculation. Definition of probability. Calculation of the probabilities of mutually exclusive, independent and conditioned events.
• Concept of statistical hypothesis testing.
• Relationship between two qualitative characters: the Chi-squared test as a measure of association between two qualitative variables, the chi-squared with the correction of Yates for the continuity, the exact Fisher test.
• Student T-test for independent samples and student T-test for paired specimens.
• Relationship between two quantitative characters: regression analysis and correlation analysis
Methods of determining the number of samples
• 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

• M. Pagano, K Gauvreau. Biostatistica. IDELSON-GNOCCHI

Teaching Methods

The teaching is structured in 16 hours of frontal didactics, each lesson will be divided into two parts. A first part in which will be presented the topic of the lesson and in a second part in which will be proposed by the teacher of the exercises that allow to verify the practical application of the topics treated in a theoretical way.

Evaluation methods

Verification of learning:

The verification of the preparation of the students will be done by written examination composed of multiple answer questions and/or exercises that allow to verify the practical application of the subjects covered. The total points (30) will be divided on the basis of the questions present on the task and reported on the text in relation to each individual test question. There is no oral test.
The duration of the test is 30 minutes.
The teaching methodology and the methods of verification will be presented by the teacher at the beginning of the course.

Contacts/More Information

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

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

Aree