|Semester 1 Credit Value:||10|
This module introduces students to the design, practice and core concepts of applied quantitative research in the health sciences (in particular, epidemiology and health services research). The module will also provide a foundation for more advanced studies in quantitative epidemiology and health services research in later modules of the degree programme.
This module provides an introduction and broad overview of the following topics:
The hierarchy of quantitative research evidence
Cross-sectional and descriptive studies
Measure of frequency (incidence and prevalence)
Variations in measurement, validity and reliability
Bias, confounding and effect modification
Measures of association & risk (rate ratios, relative risks, odds ratios)
Randomised controlled trials
Specific and standardised rates
|Guided Independent Study||Assessment preparation and completion||12||1:00||12:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||2||2:00||4:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||4||1:30||6:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||7||1:00||7:00||N/A|
|Scheduled Learning And Teaching Activities||Lecture||2||0:30||1:00||N/A|
|Guided Independent Study||Directed research and reading||12||1:00||12:00||N/A|
|Guided Independent Study||Skills practice||12||1:00||12:00||N/A|
|Guided Independent Study||Project work||13||1:00||13:00||N/A|
|Guided Independent Study||Reflective learning activity||11||1:00||11:00||N/A|
|Guided Independent Study||Student-led group activity||11||1:00||11:00||N/A|
|Guided Independent Study||Independent study||11||1:00||11:00||N/A|
The anticipated number of students and the nature of the learning and skills objectives indicate that a participative approach to teaching and learning, with ample time for discussion and practical activities in small and plenary groups, is more appropriate than formal lectures; hence the emphasis on seminars as the main mode of delivery. Learning materials will be made available to students in advance of seminars, using the Blackboard learning platform, and it will be expected that students have done the required preparatory work.
To develop and practise the practical skills of data interpretation, scheduled student-led group work sessions will be arranged in which students will work in small groups on a practical task, such as designing a piece of research to address a specified research question and calculating and interpreting principal measures of disease frequency, risk and association used by epidemiologists and health services researchers.
As this is a Masters level course, students will be expected to engage in significant self-guided learning, including allocated essential and further reading and accessing web-based learning resources
The format of resits will be determined by the Board of Examiners
The 2,000 word essay requires calculation of measures of disease frequency, risk and association and discussion of aspects of measurement and design in epidemiological and health services research
The written assignment will test students’ understanding of measurement and design issues in epidemiology and health services research by asking for in-depth discussion of these topics. The written assignment will also require students to demonstrate their ability to calculate and interpret one or more key measures of disease frequency, risk or association and interpret their results. A written assignment will allow for a more in-depth appraisal than would be possible in a time-limited examination.
Disclaimer: The University will use all reasonable endeavours to deliver modules in accordance with the descriptions set out in this catalogue. Every effort has been made to ensure the accuracy of the information, however, the University reserves the right to introduce changes to the information given including the addition, withdrawal or restructuring of modules if it considers such action to be necessary.