Handling outlying or skewed data with robust regression
Tag Archives: statistics
Why p values aren’t necessary: they are not evidence, and they can’t be replicated
Why p values aren’t necessary: They don’t tell us whether hypotheses are true
Common statistical mistakes when writing or reviewing manuscripts
Contributing to journal peer review is a good way to observe and mitigate the research conducted in a scientific field, and contribute to the growth of knowledge. I have peer reviewed for some years, and assessing manuscripts for publication now comes more easily. As a peer reviewer, I think it curious how simple statistical oversights are common at submission. As
Read moreConfused interactions
I am used to confused interactions, likely because I get along better with dogs and kids than I do with adults. But that is not what Nieuwenhuis et al. had in mind when they surveyed 513 articles relating to behavior, cognitive function or brain imaging from leading journals (Nature, Science, Nature Neuroscience, Neuron, Journal of Neurosience). What they were looking
Read moreUnderstanding interaction (subgroup) analysis in randomised studies
When we try to interpret findings from a study, we often like to understand whether an effect (of a treatment or test condition) might be different in subjects with different characteristics. If there was substantial variability among subjects, this may have masked a treatment effect in a select few. How can we understand effects in select groups of subjects that
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