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st: marginals and unconditional standard errors


From   susan@hailpern.com
To   statalist@hsphsun2.harvard.edu
Subject   st: marginals and unconditional standard errors
Date   Sat, 08 Aug 2009 05:25:22 -0700

Hi All,

I posted earlier about an inability to obtain predicted margins using
Stata 11.

Thank you for the advice about using the vce(unconditional) option. 

This fails with the following error message:

. margins x, vce(unconditional) 
unconditional standard errors derived assuming full estimation sample;
indepvars dropped observations from the estimation sample


As a reminder, I have a created a subpop of ~2500 observations (total
5000+) and would like to obtain the age- sex- race adjusted prevalence
of my dichotomous outcome by cystatin-c quartile. Data is svyset; svy
logistic model including age, sex and race and cystatin-c was run,
followed by the marginals command. 

Thanks,
Sue 

. svy, subpop(subpopnodm): logistic pad i.x age56 sex01 race2
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata   =        28                 Number of obs      =     
 5684
Number of PSUs     =        57                 Population size    = 
230532837
                                               Subpop. no. of obs =     
 2472
                                               Subpop. size       =
90812359.8
                                               Design df          =     
   29
                                               F(   6,     24)    =     
28.73
                                               Prob > F           =    
0.0000

------------------------------------------------------------------------------
             |             Linearized
         pad | Odds Ratio   Std. Err.      t    P>|t|     [95% Conf.
Interval]
-------------+----------------------------------------------------------------
           x |
          2  |   1.521746   .5364044     1.19   0.243     .7400256    
3.12923
          3  |   4.057542   2.135947     2.66   0.013     1.382564   
11.90805
          4  |   9.510348   3.931692     5.45   0.000     4.083106   
22.15145
             |
       age56 |   4.655526   2.164545     3.31   0.003     1.798843   
12.04881
       sex01 |    1.14324    .236113     0.65   0.522      .749361   
1.744149
       race2 |   2.314983   .5035135     3.86   0.001     1.483732   
3.611936
------------------------------------------------------------------------------




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