Covering the process of undertaking a randomised trial, focusing on the practicalities of organising and running trials.
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Accredited courses include undergraduate and postgraduate level courses.
For those who have some research experience and an understanding of basic statistical principles, and who wish to develop their statistical expertise.
Advancing skills and knowledge of complex issues in qualitative research
Developing a strategy for practice change and disseminating evidence in a health care setting.
Infectious disease modelling utilises data and our understanding of disease biology to provide public health insights. Aimed at a general audience, this course will cover methods for modelling disease transmission in statistical programming language R.
This ten-week online course will survey the range of techniques and methodologies used to determine the nature and composition of nanoparticles, thin films and nanostructures. It includes a hands-on visit to Begbroke Science Park over two days.
An introduction to the basic concepts and skills for evidence-based health care.
Master statistical computing for healthcare research. This 8-week online course teaches R programming, simulation, bootstrap, optimisation, and machine learning to tackle complex analytical challenges with confidence.
Plan, execute and interpret the statistical analysis of clinical trials.
Covering the process of doing a systematic review, focusing on practicalities and emphasising how and why this qualifies as scientific research.
The importance of translational science for global health goals
This course is led by Dr Michael Theodorakis and features lectures and tutorials in epidemiology, systematic reviews and pharmacovigilance.