The additive effect can be calculated using various statistical models, including linear regression models. The basic formula involves summing the individual effects of each exposure. For example, if the relative risk (RR) associated with exposure to Factor A is 1.2 and the RR for Factor B is 1.3, the combined additive effect would be:
