Handling missing values in PROC SURVEYLOGISTIC for multiple regression model

[tolesa2003]

Currently I'm analyzing complex survey design data. I have missing values for most of my variables due to recoding form non-responses such as 99, 999, 9999 etc. When I fit the multiple model using CLUSTER, STRATUM and PERWEIGHT options the model was severely affected due to missing values. How can I handle the missing and fit the model with the following?

 PROC SURVEYLOGISTIC DATA= <hjGG>

WEIGHT PERWEIGHT;
Cluster PSU;
Stratum Domain; 

Class <abcm>;

Model hhchc=<gahdj>;

RUN;

[ballardw]

One option is to use MISSING on the Proc statement. Then "missing" becomes a category.

You don't say if the missing are occurring with your class variables, other variables or both or even how many variables are in your model. It might be that you have too many variables for your data.