Prognostic research is of growing importance, as globally more people are living with disease and clinicians and policy makers seek ways of targeting existing treatments and improving health outcomes. There is a rapid expansion in the number of new prognostic markers. Often, bold claims are made about their potential to assist in personalising approaches to medical care and treatment. Prognostic models may be useful to summarize the effects of multiple predictors but while commonly developed, such models are often not well validated or used in clinical practice.
Drawing on recent examples and current controversies in cardiovascular disease, cancer, trauma and other conditions, the course examines molecular biomarkers and genetic variants through to the quality of healthcare as predictors of outcome.
You can apply until:
Always verify the dates on the programme website.
There will be lectures, interactive debates and critical appraisal of papers, but no computer labs (the course does not cover advanced statistical methods, see Further reading).
Faculty: Prof. John Ioannidis, MD DSc, Prof. Ewout Steyerberg, PhD & Maryam Kavousi, MD PhD
This programme requires students to demonstrate proficiency in English.Take IELTS test
The course is suitable for undergraduates medical students, practicing clinicians, and those contemplating or doing a Masters or PhD in a related area.
Introductory level background in epidemiology (e.g. Principles of Research in Medicine and Epidemiology (ESP01) and biostatistics (e.g. Introduction to Data-analysis (ESP03)).
StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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