when to drop effects in an iterative analysis and get a difference how to find out if risk is driven by a subset of all the variables how to test different types of risk scores in different populations how to test for additive risk scores which subset of effects drives the risk how to determine what effect is driving the change? additive risk score to determine how many risk factors are affected do we drop the risk score how to find effects and drive the risk which risk modifier is a subset of a risk score variable? how do you determine which effect makes the significant difference between the two population groups? how to find out if each effect is driving differences in a population why is it important to test the risk score sequentially? how can i know the difference between the subset of additive risk scores? how to find an additive risk score why does it need to drop all of the random effects to be tested? how to determine the effects of a variable if an effect is not driving the risk difference, why drop that effect and continue dropping it? determining when an individual effect is driving a risk score? how to determine the difference between populations