HAR674: Randomised Controlled Trials
This campus-based module is led by Cindy Cooper. It runs in the Spring semester and is worth 15 credits.
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Module description
Randomised Controlled Trials (RCTs) are used to test the effectiveness of interventions.
This module covers the appropriate use of trials, the range of trial designs, strategies to optimise recruitment, sample size, outcome measures, the use of economic and qualitative methods alongside trials, the role of clinical trials units, ethical issues and governance procedures.
Objectives
By the end of the unit, students will be able to:
- Differentiate across the range of trial designs, evaluating their appropriate use
- Critically evaluate the key elements of trial design and analysis
- Design and plan a clinical trial within procedures and guidelines
Teaching
This module can also be taken as part of the following courses:
This module is available faculty-wide in years 1 and 2 as a DDP module
Teaching is lecture-based. Group exercises based on examples from real trials will develop students’ critical understanding of trial design.
Independent study will deepen the understanding of the design and analysis of trials.
Fees and funding
You can find out more about fees and funding for CPD modules in the School of Medicine and Population Health at the link below. We accept sponsored as well as self-funding students.
How to apply
Find out what you need to do to apply for a CPD module in the School of Medicine and Population Health.
Contact
For more information on this module, speak to the lead academic:
The content of our courses is reviewed annually to make sure it is up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research, funding changes, professional accreditation requirements, student or employer feedback, outcomes of reviews, and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.
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