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.
A beginner’s guide to standard deviation and standard error: what are they, how are they different and how do you calculate them?
A Finnish translation (thank you to Eveliina Ilola) of the nuts and bolts 20 minute tutorial from Tim Hicks: A beginner’s guide to interpreting odds ratios, confidence intervals and p-values.
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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.