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st: Imputed Missing Values with Uvis
I am exploring the possibility of imputing the missing values by using
procedures such as Uvis or Mvis. One thing, I notice is the following:
Suppose, I have the command: _Uvis_ _regression_ y x1 x2 x3
Where y is the variable whose missing values will be imputed as a
predictor from the regression equation : y = a0+ a1*x1 +a2*x2 +a3*x3
As such, if any one of x1, x2, x3 has missing value then the imputed
value of y is missing despite that the value of orginal y is observed.
I would highly appreciate if someone can enlighten me this matter.
Have A Wonderful Day!
All the best,
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