‘No evidence of effect’ versus ‘evidence of no effect’: how do they differ?
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.
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.
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This blog takes a detailed look at the issue of attrition bias (bias that can arise when participants drop out of a study). It also describes measures that can be taken by researchers to minimize this bias (including different types of statistical analyses).
Critical appraisal tools (CATs) are commonly used by students and researchers alike, as a way of judging a study’s quality. In this blog, Dennis Neuen addresses the need to appraise these tools and has also collated a list of 12 CATs from all over the world.
The nuts and bolts 20 minute tutorial from Tim.