What is ‘Responder analysis’ and what are the benefits and limitations of this approach? Read more in this blog from Giorgio Karam.
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.
In this blog, Giorgio Karam examines the evidence on antihypertensive drugs for primary prevention – when do we start treatment?
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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.
This page provides a brief introduction to Cochrane and highlights some of the Cochrane platforms you can participate in, connect with, and learn from. Participate in Cochrane’s mission to produce and promote trusted health evidence.
Conducting successful research requires choosing the appropriate study design. This article describes the most common types of designs conducted by researchers.