Hi colleagues,
I would immensely appreciate help to interpret the results of running the lincom command with the syntax below.
My interpretation is that clients of sex workers (Client=1, non-client=0) who are married have an odds ratio of 2.96 in terms of not being medically circumcised (vmmc_rev=1 not being medically circumcised, vmmc=0, being medically circumcised) compared to non clients of sex workers who are single.
In advance, many thanks for your help with this.
*********
. do "C:\Users\MARIAA~1\AppData\Local\Temp\STD28dc_0000 00.tmp"
. svy: logistic vmmc_rev client##i.marital_2 i.age_10 i.education_2 i.religion_3
(running logistic on estimation sample)
Survey: Logistic regression
Number of strata = 20 Number of obs = 12,454
Number of PSUs = 721 Population size = 12,339.107
Design df = 701
F( 10, 692) = 30.00
Prob > F = 0.0000
----------------------------------------------------------------------------------------
| Linearized
vmmc_rev | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-----------------------+----------------------------------------------------------------
client |
Yes | 1.299014 .2211201 1.54 0.125 .9299729 1.814501
|
marital_2 |
married/partnered | 1.613687 .1533006 5.04 0.000 1.339106 1.944569
|
client#marital_2 |
Yes#married/partnered | .8945178 .2872448 -0.35 0.729 .4761908 1.680339
|
age_10 |
25-34 | 1.047437 .1128328 0.43 0.667 .8477647 1.294137
35-44 | 1.248614 .1393511 1.99 0.047 1.002919 1.554499
45-54 | 1.554565 .2410289 2.85 0.005 1.146583 2.107718
55-59 | 1.556044 .3371461 2.04 0.042 1.01689 2.381056
|
education_2 |
secondary-higher | .4055958 .0327936 -11.16 0.000 .3460607 .4753732
|
religion_3 |
2 | .1449861 .0541511 -5.17 0.000 .0696402 .3018511
3 | .7283261 .2297458 -1.00 0.315 .3920625 1.352996
|
_cons | 7.510644 .6838538 22.14 0.000 6.281164 8.980783
----------------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
.
end of do-file
. do "C:\Users\MARIAA~1\AppData\Local\Temp\STD28dc_0000 00.tmp"
. lincom 1.client + 1.marital_2, eform
( 1) [vmmc_rev]1.client + [vmmc_rev]1.marital_2 = 0
------------------------------------------------------------------------------
vmmc_rev | Odds Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
(1) | 2.096201 .441758 3.51 0.000 1.385921 3.170496
------------------------------------------------------------------------------
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