Hello again,
When I run PROC MI I get a few warnings, and am wondering what, if anything, I need to do. Here are the code and the warnings:
proc mi data=siya3 nimpute=20 out=mi_fcs;
class share agyw drugs depression
ss worksite mobility pimp homeless moneybin2 unsafe
disclose vs ed civil alcohol violrec viol;
fcs plots=trace(mean std);
var share agyw drugs depression
ss worksite mobility pimp homeless moneybin2 unsafe
disclose estigmasw estigmahiv astigmasw
astigmahiv pills303 pillsreceive303
pillsgive303 vs ed civil alcohol violrec viol ;
fcs discrim(share agyw drugs depression
ss worksite mobility pimp homeless moneybin2 unsafe
disclose vs ed civil alcohol violrec viol / classeffects=include) nbiter=100;
run;
WARNING: The regression with observed observations results in a perfect fit for variable
pillsgive303. Imputed values are the predicted values from the model.
WARNING: An effect for variable estigmasw is a linear combination of other effects. The coefficient
of the effect will be set to zero in the imputation.
WARNING: An effect for variable estigmahiv is a linear combination of other effects. The coefficient
of the effect will be set to zero in the imputation.
WARNING: An effect for variable astigmasw is a linear combination of other effects. The coefficient
of the effect will be set to zero in the imputation.
WARNING: An effect for variable astigmahiv is a linear combination of other effects. The coefficient
of the effect will be set to zero in the imputation.
WARNING: The regression with observed observations results in a perfect fit for variable pills303.
Imputed values are the predicted values from the model.
WARNING: The regression with observed observations results in a perfect fit for variable
pillsreceive303. Imputed values are the predicted values from the model.
Note that estigmasw estigmahiv astigmasw astigmahiv, which were included in the analysis model and treated as continuous, are sum scores created by adding other variables together. Pillsgive303, pillsreceive303, and pills303 are also variables included in the analytic model that were created by summing other variables and treated as continuous. Do the warnings mean that I need to include the all the variables used to create those continuous variables in the var statement? If so, should they also be included in the class and fcs discrim statments if they are categorical, even if they themselves were not included in the analytic model? many thanks.
