Terms such as significant, hypothesis testing, and p-value are usually found in research papers, here is a review explaining them.
In search of a book with simple, comprehensible definitions and examples of clinical evidence? Do you want to take the first step in understanding common terms in clinical evidence as well as commonly used methods and their pitfalls? This review will inform you if this is the book you’re looking for.
Alice went to the Cochrane UK and Ireland Annual Symposium in Manchester in April – here are her reflections on its theme: Cochrane Evidence: Useful, Usable, and Used.
Richard takes a look at Greenhalgh and colleagues, BMJ article “Evidence based medicine: a movement in crisis?”.
You probably have heard a debate between clinical judgment and Evidence Based Medicine. Is there a real reason to oppose these two concepts? See here for more…
Antonio takes a detailed look at the latest European Society of Human Reproduction and Embriology guidelines on Endometriosis, from diagnosis to possible treatments.
Is this your first contact with evidence-based healthcare? This course is a perfect start…
Ashline takes a look at ethical assessments and considerations in randomised controlled trials and cluster randomised controlled trials.
What happens when you have a test result? Do you believe it, can you act on it? It all depends where you are. Check out this discussion of post-test probabilities and how they help in the interpretation of test results.
Sean reviews the Statistics Learning Centre’s Videos – a Youtube channel featuring a series of free tutorials which aim to help you learn the concepts of statistics from identifying types of data to performing t-tests in Excel.
Sean reviews ‘What is Evidence Based Medicine and Why Should I care?’, an article for students and healthcare professionals which covers Evidence-Based Medicine from first principles to medical statistics in the course of one free paper.
On the uniform of every fine detective, badges which salute their sensitivity and specificity are worn. From crime to clinic, find out what defines these “pre-test” probabilities.
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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?