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st: Treatment for Missing Values - What Options ?


From   Chao Yawo <Yawo1964@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Treatment for Missing Values - What Options ?
Date   Mon, 13 Jul 2009 12:24:41 -0400

Hello,

In a previous post, I indicated there was a drastic reduction in my
sub-population size. I traced the problem to a variable with a lot of
missing cases.

As you can see from the table below, this variable elicits whether the
respondent engaged in unprotected sexual intercourse. About a third of
the cases (33.78%) are missing.

V761 -- Last intercourse used condom
-----------------------------------------------------------
                    |      Freq.    Percent      Valid       Cum.
--------------+--------------------------------------------
Valid   0 No   |       6012      56.16      84.81      84.81
          1 Yes  |       1075      10.04      15.16      99.97
             9      |          2          0.02       0.03     100.00
            Total  |       7089      66.22     100.00
  Missing .      |       3617      33.78
    Total          |      10706     100.00
-----------------------------------------------------------


Since the dependent variable in my deals with HIV risk, I need to
include sexual risk variables such as the V761 in the model.  How do I
deal with this missing data problem, so that it does not affect my
sample size. Would an imputation work?

thanks, Cy

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