MSc Clinical Dentistry (Paediatric Dentistry) / Course details

Year of entry: 2025

Course unit details:
Biostatistics

Course unit fact file
Unit code DENT70002
Credit rating 15
Unit level FHEQ level 7 – master's degree or fourth year of an integrated master's degree
Teaching period(s) Semester 2
Available as a free choice unit? No

Overview

The overarching aim of DENT70002 is to introduce students to the fundamentals of study
design, statistical analysis and the interpretation and reporting of results. This course will
provide you with a valuable foundation for critically appraising the scientific literature
relating to your clinical specialty. The course material comprises ten topics, delivered online
over ten weeks and supplemented by three in person lectures. The mandatory in person
lectures provide students with the opportunity to put into practice the concepts covered in
the online materials, and engage in discussion.
On completion of DENT70002 students will be able to: appropriately describe and present
numerical data; understand the principles of sampling, estimation, hypothesis testing and
confidence intervals; and carry out and interpret the results of statistical analyses using a
statistical software package.
 

Aims

The overarching aim of DENT70002 is to introduce students to the fundamentals of study
design, statistical analysis and the interpretation and reporting of results. The course unit
will equip students with the skills to confidently appraise the literature in terms of statistical
approach and reporting, and to incorporate robust research evidence into evidence-based
practice.

Teaching and learning methods

The course will be delivered predominantly through e-learning over a period of 12-weeks, with three timetabled face-to-face symposiums. A variety of online material will be utilised including web-based reading, online discussions, tutor feedback, interactive exercises and self-assessment.

The face-to-face symposiums will be a mix of tutor presentations, group work and student presentations.

Self-directed learning will allow reflection of material in the context of research and broaden understanding as well as knowledge.

Knowledge and understanding

Students should/will be able to:

  • Identify different types of data and carry out mathematical calculations
  • Understand basic statistical concepts necessary for the development of a study protocol
  • Carry out basic statistical techniques
  • Understand the key methodological and statistical issues to consider when critically appraising published research

Intellectual skills

Students should/will be able to:

  • Discuss the role of statistics in clinical research
  • Explore the development of a research idea from hypothesis through to interpretation and conclusion
  • Make a judgement on the credibility of methodology and statistical analysis of research articles with respect to implications for clinical practice/future research
  • Discuss issues regarding the implementation of research findings

Practical skills

Students should/will be able to:

  • Carry out statistical analysis by hand and using a statistical software package
  • Generate information to a standard suitable for publication
  • Discuss statistical techniques covered in the course with statisticians and specialist and non-specialist colleagues alike

Transferable skills and personal qualities

Students should/will be able to:

  • Manage workload; use initiative when seeking information
  • Use information technology and appropriate related software to a high standard
  • Apply research related skills to professional practice

Assessment methods

Written assignment (mid-term): 40%

Written assignment (end of term): 60%

Feedback methods

Feedback given within the required timeframes, through submitted assignments.

Study hours

Independent study hours
Independent study 150

Teaching staff

Staff member Role
Tanya Walsh Unit coordinator

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