You might see me twitch whenever I hear a colleague say “significant” when they clearly mean “statistically significant” (which in fact has nothing to do with being “clinically significant” or “scientifically significant”). These cognitive hiccups jar me out of my colleague’s otherwise careful scientific narrative. I get a little concerned that they might have fundamentally misunderstood their analysis results — not something you or your clients want to hear from your statistician!
So here’s my short attempt to help correct two common phrases about research findings. They’re wrong because of how they are commonly misinterpreted.
I’ll share each wrong phrase, its interpretations, and a better phrase. If you’re interested, I provide detailed reasoning on Wrong Phrase 1 at the end. (As an exercise, you should try applying similar reasoning to Wrong Phrase 2.)
There was a significant decrease of size D in the outcome.
#data-science #statistics #hypothesis-testing #machine-learning #clinical-trials