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.
Katherine Stagg explores the impact of language bias and how the language of publications can affect our evidence base.
Let’s be honest, Evidence-Based Medicine is great. But it’s not perfect. Issues such as the lack of publishing of negative results need to be understood and tackled. In this Youtube video, Prof David Nealy does just that.
Sense About Science explains how scientists cope with uncertainty and unknowns in research, whether or not that matters, and how we can practically use scientific results in spite of not always knowing everything.
Infographics are quick, fun ways to introduce a topic or interest people in new subjects. ‘How Disease Spreads’ is an interesting infographic about the prevalence of different diseases across the world and throughout time, but it gets a little lost upon the way.
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This blog introduces you to the concept of confounding. There is a clear explanation and then examples and methods to minimise the effect of confounding during study design and statistical analysis.
Randomized controlled trials (RCTs) can be subject to different kinds of bias. Read about different sources of bias in this blog and how much the magnitude of effect can be changed by the presence of bias.
This new webpage from Cochrane UK is aimed at students of all ages. What is evidence-based practice? What is ‘best available research evidence’? Which resources will help you understand evidence and evidence-based practice, and search for evidence?