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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Science and computers go hand in hand. But so do humans and errors. That is why in my previous post I talked about my experience of how science, a human endeavour, does not always apply due diligence when it comes to ensuring errors are avoided. I don’t think this is intentional, but rather a mix of ignorance, bias, and lack
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Research funders are beginning to require that data produced in the course of the research they fund should be made openly available. This is to encourage further discovery and exploration, as well as to extend research questions. In addition, releasing data and code can be in researchers’ interest because it provides a complete and transparent record of how the conclusions
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In this, the digital age, we rely heavily on computers. We use them to store, share and analyse our data. We use them to write and submit our scientific manuscripts. We use them to make figures and present our results. We use them to access others research. Yes, we scientists use computers a lot. But are we infallible in our
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Scientifically Sound 