The Importance of Auxiliary Variables in a Model

The assumption about data being missing completely at random is sometimes able to be met by making sure that we have the mechanisms of missing this represented within our model. The trick is we want to do it in... Well, first of all, we had to know ahead of time to gather it and that involves knowing your population,. anticipating what some of the reasons people don't provide data might be. One of the really nice ways to do that is something called the saturated correlates model.