interpreting lincom output

[ajay pasi]

Dear members of the community,

I am having difficulty interpreting the lincom output:

Logistic regression                                     Number of obs = 19,118
                                                        Wald chi2(37) =      .
                                                        Prob > chi2   =      .
Log pseudolikelihood = -3725.0714                       Pseudo R2     = 0.2564

                                                        (Std. err. adjusted for 39 clusters in PSUID)
-----------------------------------------------------------------------------------------------------
                                    |               Robust
                               PRS | Odds ratio   std. err.      z    P>|z|     [95% conf. interval]
------------------------------------+----------------------------------------------------------------
             TORT_FB1_FBN_PW_NW1230 |
                                 1  |   1.534704   .2820355     2.33   0.020     1.070527    2.200146
                                 2  |    1.54518   .1708339     3.94   0.000     1.244145    1.919054
                                 3  |   1.438381   .1204091     4.34   0.000     1.220727    1.694842

. lincom  2.TORT_FB1_FBN_PW_NW1230- 1.TORT_FB1_FBN_PW_NW1230, or

 ( 1)  - [PRS]1.TORT_FB1_FBN_PW_NW1230 + [PRS]2.TORT_FB1_FBN_PW_NW1230 = 0

------------------------------------------------------------------------------
        PRS | Odds ratio   Std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
         (1) |   1.006826    .220022     0.03   0.975     .6560565     1.54514
------------------------------------------------------------------------------

How to interpret the odds ratio (1.006826 ) in the second code?

regards,
ajay

[Carlo Lazzaro]

Ajay:
I'd say that the ratio between the two =Rs does not reach statistical signifcance as the indifference value (that is, 1) is included within the 95% CI.
What does this mean substantively, I cannot say.

[ajay pasi]

Thanks, Carlo. Appreciate the help.