Stata The Stata listserver
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: RE: Imputed Missing Values with Uvis


From   "Nick Cox" <n.j.cox@durham.ac.uk>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Imputed Missing Values with Uvis
Date   Thu, 24 Feb 2005 22:03:17 -0000

You seem surprised at this.

If you don't know -x1-, you cannot 
predict -y- from -x1 x2 x3-; and 
so on. 

If you do know -y- you don't need 
to impute it. 

Nick 
n.j.cox@durham.ac.uk 

Quang Nguyen
 
> 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.
> 

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index