Relative Risk Adjustment

Relative Risk Adjustment is a statistical method used to improve the accuracy of comparing health outcomes between groups by accounting for differences in their risk factors. It adjusts the comparison to consider variables such as age or pre-existing conditions, ensuring that the comparison reflects true differences rather than those caused by underlying disparities. Think of it as leveling the playing field, so we can see if an intervention or treatment genuinely impacts outcomes, without bias from differing baseline risks across groups.