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Join us at the International EBM Student Congress, December 2015!
Join S4BE at the International Student EBM Congress on Kish Island in December 2015!
A network for students interested in evidence-based health care
Join S4BE at the International Student EBM Congress on Kish Island in December 2015!
Sense About Science brings free workshops focussing on peer review to early-careers researchers in the UK – Heidi reviews this year’s Glasgow workshop.
If you’ve read a newspaper or seen the news over the couple of weeks there’s a good chance you’ll have seen a few pretty terrifying headlines related to Alzheimer’s disease… So can you really catch Alzheimer’s disease from blood transfusions, dental visits or surgery? In short: no. Here’s how we know: 1. This was a very small, observational study 8 patients were studied in a purely observational manner; there was no randomisation, control group or blinding. The data is comprised of
The ‘Health in the Media’ feature is back! Iodine deficiency has been linked to poor thyroid function and weight gain, but did the Daily Mail dish out helpful advice on where to find dietary iodine?
“This treatment lowers your high risk of heart attack considerably”. Wait, what is “risk”? This post explains you a definition of risk that is useful to understand in health-related questions.
Kendall Jenner is among numerous celebs to attribute their svelte physiques to so-called detox tea – but can tea really help you detox and lose weight?
Currently decisions made on treatment of bronchiectasis are based on guidelines which have a very poor evidence base. Read more to find out!
Advances in technology now allow huge amounts of data to be handled simultaneously. Katherine takes a look at how this can be used in healthcare and how it can be exploited.
Heidi reviews ‘Systematic Reviews in Health Care: A Practical Guide’ written by Paul Glasziou, Les Irwig, Chris Bain and Graham Colditz
How can you tell if a variable is nominal, ordinal, or numerical? Why does it even matter? Determining the appropriate variable type used in a study is essential to determining the correct statistical method to use when obtaining your results. It is important not to take the variables out of context because more often than not, the same variable that can be ordinal can also be numerical, depending on how the data was recorded and analyzed. This post will give you a specific example that may help you better grasp this concept.
Know Your Chances: Understanding Health Statistics is one of the few easily digestible statistics books that teaches anyone the most basic principles and concepts how to question and see the reality behind health news, hype, claims and ads.
In this blog, Pishoy discusses how the newest Cochrane review impacts how we treat deep vein thrombosis. Are NOACs the way to go?
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A beginner’s guide to standard deviation and standard error: what are they, how are they different and how do you calculate them?
When you see a claim that a treatment or intervention has no effect, it is important to examine the evidence as this may be a misleading statement.
This blog provides a detailed overview of the concept of ‘blinding’ in randomised controlled trials (RCTs). It covers what blinding is, common methods of blinding, why blinding is important, and what researchers might do when blinding is not possible. It also explains the concept of allocation concealment.