Risk is one of the core features of medicine. Every decision we make inherently carries risk. But should we try harder to understand what risks come with our common procedures? Absolutely…
Category: Visual Statistics
Understanding what tests mean when they are positive and negative is one of the fundamental skills for being a good, evidence-based practitioner. But how do we know how to interpret them? This weeks #PowerSTAT has the answer, on predictive values in testing
Relatives can be tricky at times, especially around holidays. But this week’s #PowerSTAT isn’t about Grandma’s knitting, it’s about relative risk, a statistic that is often encountered in journal club
Feeling strange about stats? This week’s #PowerSTAT is looking at Odds Ratios and some left field pyjama choices.
The week is nearly over – time for another #PowerSTAT! Sensitivity and specificity are often quoted in articles when looking at the characteristics of a test, but are you clear on what they mean?
Well, wonder no longer!
Correlation ≠ Causation
Except, sometimes it does. In the first of our #PowerSTAT infographics, we look at the Bradford-Hill Criteria, a useful series for looking at whether cause has equalled effect