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I m p u t a t i o n
1.
Drag-and-drop the variables MeasA_1, MeasA_2, MeasA_3, MeasB_1, MeasB_2,
MeasB_3 into the Variables to Impute field.
2.
Drag and drop the variables SYMPDUR, AGE, MeasA_0, and MeasB_0 into the
Fixed Covariates field.
3.
As there is no Grouping variable in this data set, we can leave this field blank.
Non-Monotone
Selecting the Non-monotone tab allows you to add or remove covariates from the logistic
model used for imputing the non-monotone missing values in the data set. (These can be
identified in the Missing Data Pattern mentioned earlier in the Predictive Model example.)
You select the + or - signs to expand or contract the list of covariates for each imputation
variable.
The list of covariates for each imputation variable will be made up of the variables specified as
Fixed Covariates in the Base Setup tab, and all of the other imputation variables. Variables can
be added and removed from this list of covariates by simply dragging and dropping the variable
from the covariate list to the variables field, or vice versa. Even though a variable appears in the
list of covariates for a particular imputation variable, it might not be used in the final model.
Imputation User Manual 37