topic Re: Regression Model and Missing Values in SAS Data Science

Regression Model and Missing Values

smajid — Thu, 06 Oct 2016 02:36:06 GMT

Hi,

I plan to create a logistic regression model in SAS, but I am working with categorical data (independent variables) with missing values.

Should I eliminate the missing values before fitting the model? I'm leaning towards this because the goal is not to predict using missing categorical values.

Should I create a new category for missing variables? If I do that, then I'd have to create an extra dummy variable.

Thank you in advance for your help!

SMajid

Re: Regression Model and Missing Values

Ksharp — Thu, 06 Oct 2016 03:22:43 GMT

If you have a big table, you could remove them.
OR using PROC MI to populate these missing value.

Re: Regression Model and Missing Values

Reeza — Thu, 06 Oct 2016 03:54:10 GMT

Do you have random missing or systematic missing?

Re: Regression Model and Missing Values

ballardw — Thu, 06 Oct 2016 14:20:03 GMT

By default the regression procedures will eliminate any record from analysis with missing values for any variable on the model statement.