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?
Doctors must always ensure they are doing the right thing for each patient. But what are benefits and harms, and how do we ‘balance’ them?
A description of the two types of data analysis – “As Treated” and “Intention to Treat” – using a hypothetical trial as an example
Medically unexplained physical symptoms. The notion of physical symptoms having no medical causes is not an old one; when is it really a Somatoform disorder and what is the best treatment? Two new Cochrane reviews help answer the question.
Randomised Controlled Trials (RCTs) are central to evidence-based healthcare; but they themselves are riddled with inefficiency. Trial Forge aims to change that.
A brief overview of the concept of bias and what it means. This blog also describes 2 particular types of bias that are perhaps less well known to students.
Angel takes a look at the new guide on allergies from Sense About Science.
Katherine Stagg explores the impact of language bias and how the language of publications can affect our evidence base.