Excess risk

In statistics, excess risk is a measure of the relationship between a specified risk factor and a specified outcome (such as contracting a disease). It is the difference between two proportions. In epidemiology it is typically defined to be the difference between the proportion of subjects in a population with a particular disease who were exposed to a specified risk factor and the proportion of subjects with that same disease who were not exposed. That is,

${\displaystyle ER=P(D\mid E)-P(D\mid {\bar {E}})}$

where ${\displaystyle {\bar {E}}}$ denotes the event "not $E$". . Note that this definition entails that ${\displaystyle -1\leq ER\leq 1}$.

External links

• Excess risk