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st: RE: Imputed Missing Values with Uvis
You seem surprised at this.
If you don't know -x1-, you cannot
predict -y- from -x1 x2 x3-; and
If you do know -y- you don't need
to impute it.
> 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.
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