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st: svy test


From   "Sahid Hocine" <cahid2@googlemail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: svy test
Date   Wed, 10 Sep 2008 11:09:08 +0100

Dear All,
I have a very practical question
I am running a multivariate model from which  i would like to delete
the non relevant variables. The SVY commands don t support LRT so the
-test- would be the solution but the -test- is for two variables at a
time? How to proceed with 12?.
Thanks

--------------------------------------------------------------------------

. svy: logit sd106f  v106 v201 v013 v025 v190 s708  s109 v513 v024
v130 s801 v743d v731  ,or
(running logit on estimation sample)

Survey: Logistic regression

Number of strata   =        34                  Number of obs      =      1529
Number of PSUs     =      1449                  Population size    = 1674.0756
                                                Design df          =      1415
                                                F(  13,   1403)    =      7.50
                                                Prob > F           =    0.0000

------------------------------------------------------------------------------
             |             Linearized
      sd106f | Odds Ratio   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        v106 |    .859833   .0807522    -1.61   0.108     .7151615     1.03377
        v201 |   .8916687   .0880231    -1.16   0.246     .7346885    1.082191
        v013 |   1.045695   .1223353     0.38   0.703     .8312629    1.315443
        v025 |   1.047904   .1729712     0.28   0.777     .7580515    1.448587
        v190 |   .9311573   .0608004    -1.09   0.275     .8192111    1.058401
        s708 |   .9618182   .0489394    -0.77   0.444     .8704523    1.062774
        s109 |   .8670558   .1138723    -1.09   0.278     .6701333    1.121845
        v513 |   .6894548    .081396    -3.15   0.002     .5469255    .8691275
        v024 |   1.043592   .0389911     1.14   0.254     .9698417    1.122952
        v130 |   1.426153   .4571971     1.11   0.268     .7604202    2.674721
        s801 |   1.833544   .7262324     1.53   0.126     .8430584    3.987722
       v743d |   1.061066   .0604386     1.04   0.298     .9488905    1.186502
        v731 |   1.015529   .0817099     0.19   0.848     .8672525    1.189156
------------------------------------------------------------------------------

. test v743=v731=0

Adjusted Wald test
v743 ambiguous abbreviation
r(111);

. test v743d=v731=0

Adjusted Wald test

( 1)  v743d - v731 = 0
( 2)  v743d = 0

       F(  2,  1414) =    0.55
            Prob > F =    0.5781

. test s801=v130=0

Adjusted Wald test

( 1) - v130 + s801 = 0
( 2)  s801 = 0

       F(  2,  1414) =    1.62
            Prob > F =    0.1986

. test v024=v513=0

Adjusted Wald test

( 1) - v513 + v024 = 0
( 2)  v024 = 0

       F(  2,  1414) =    5.46
            Prob > F =    0.0044

. test s109=s708=0

Adjusted Wald test

( 1) - s708 + s109 = 0
( 2)  s109 = 0

       F(  2,  1414) =    0.98
            Prob > F =    0.3772

. test v013=v025=0

Adjusted Wald test

( 1)  v013 - v025 = 0
( 2)  v013 = 0

       F(  2,  1414) =    0.11
            Prob > F =    0.8954

. test v201=v106=0

Adjusted Wald test

( 1) - v106 + v201 = 0
( 2)  v201 = 0

       F(  2,  1414) =    1.93
            Prob > F =    0.1459

.
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