missing data

[noetsi]

Is there any way to get a good sense of how much missing data invalidates analysis, that is when you have to question your model? For example I would guess that at worse we might lose 2 percent of our cases in a multivariate regression (no one variable would have 2 percent missing, 2 percent of the cases will be missing some data on different variables when means the regression excludes that case)?

 

[hlsmith]

Seems pretty trivial. If you assume MAR not an issue, you c an always play around with things like imputing, removing more systematically and see if that does anything, not always the best but carry values forward or mean, min,max impute and see if there is an effect, etc.

 

[noetsi]

I don't know why the data is missing in honesty. Part of it involves race where customers chose not to identify their race (that is not missing at random but is a small part of the data ).

 

[hlsmith]

Race in particular can get pooled into another group if enough data and treated as its own group.