There are some 4300 different hhidpns. A given hhidpn (participant) will only be included in this proc glm model if there are at least two separate observations (two different rows) with non-missing data for each variable in the model. As I include new variables, some of the HHIDPNs will get dropped from the model, because they don't have enough non-missing data to be included. I want to make sure I'm running every model on the exact same sample of participants. I definitely don't have to use output to get the that list - I just don't have an idea of another way to do it. Any suggestions are welcome and thank you so much for your help!
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