Clinical significance curves are formed by calculating the level of confidence associated with any magnitude of benefit or detriment.

Individuals can select an acceptable benefit threshold and determine the level of confidence associated with it.

For example if a clinician is only interested in a benefit of 15% or more, we can see that there is only 81% confidence that such a benefit exists.

CSCs provide clinically relevant information to individual clinicians. The information contained in the curve can be displayed in tabular form instead.

Such information is not available when using P values or confidence intervals.