ABSTRACT
Confidence intervals are estimates of where ‘true’ answers are most likely found. Whereas p values denote statistical significance, confidence intervals (CIs) indicate clinical significance. They aid the interpretation of research results in two ways: by describing the magnitude of a clinical effect and by providing limits to the (im)precision surrounding any value. CIs are customarily set at 95%, meaning that one can be 95% confident that the true value of a result lies within the given interval. The width of the interval reflects the precision (if narrow) or potential range (if broad) of the clinical effect.
