Study-Unit Description

Study-Unit Description


CODE DNS1103

 
TITLE Health Informatics and Statistics

 
UM LEVEL 01 - Year 1 in Modular Undergraduate Course

 
MQF LEVEL 5

 
ECTS CREDITS 4

 
DEPARTMENT Oral Rehabilitation and Community Care

 
DESCRIPTION This study-unit is designed to give the student a basic grasp of statistics as applied to Dental Surgery.

This study-unit also introduces the basic principles of Health Informatics; it exposes the student to local sources of epidemiology and health care service data and to international databases.

Study-unit Aims:

This study-unit is designed to familiarise the student with the basic principles of statistics as applicable to dentistry. Appropriate statistical analysis can have a major impact on the way students approach the practice of dentistry. This unit gives the student introductory level practical ability to choose, generate and properly interpret appropriate descriptive and inferential statistics

Students will be taught how to describe and present data and distributions and have knowledge of sample size, sampling techniques and normal distribution. They will also be familiar with the analysis of data, correlation and linear progression, probability, parametric, non-parametric statistical tests and meta analysis.

In addition it will make the students aware of sources of data available both locally and internationally.

Learning Outcomes:

1. Knowledge & Understanding:

By the end of the study-unit the student will be able to:
- Discuss the statistical concepts behind a basic study design.
- Distinguish between descriptive and inferential statistics.
- Discuss the importance of sample size selection and randomisation.
- List the different types of sampling techniques.
- Distinguish between Parametric and Non parametric tests.
- Discuss the principles of Meta analysis.
- Describe the availability of both local and international data.

2. Skills:

By the end of the study-unit the student will be able to:
- Describe data they have collected.
- Use the appropriate pictorial method for describing data.
- Carry out the correct statistical analysis to a basic scientific study.
- Apply the concept of hypothesis testing.
- Interpret statistical knowledge in practice.
- Make inferences about the population under study.
- Identify data sources.

Main Text/s and any supplementary readings:

Statistics without tears: An Introduction for Non-Mathematicians
Derek Rowntree
Penguin Science
ISBN-10: 0205395090

Statistics in Dentistry
J.S. Bulman, J.F. Osborn
British Dental Journal (Sep 1990)
ISBN-10: 090458822X

Medical Statistics made easy
Michael Harris and Gordon Taylor
ISBN-13: 9781904842552

Essential Medical Statistics
Betty R. Kirkwood & Jonathan A.C. Sterne
ISBN-13: 978-0-86542-871-3

 
ADDITIONAL NOTES Attendance to scheduled sessions, inclusive of lectures/tutorials, practical, laboratory and clinical components is compulsory. Students who do not attend at least 90% of the scheduled sessions will not be allowed to sit for any of the assessment components mentioned below.

 
STUDY-UNIT TYPE Lecture, Independent Study, Practicum & Tutorial

 
METHOD OF ASSESSMENT
Assessment Component/s Assessment Due Sept. Asst Session Weighting
Examination (2 Hours) SEM2 Yes 100%

 
LECTURER/S Arthur Nogueira Rodriguez

 

 
The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the description above applies to study-units available during the academic year 2024/5. It may be subject to change in subsequent years.

https://www.um.edu.mt/course/studyunit