Logistic regression, adjusted odds ratio and reference category

[Faizan Mazhar]

I am trying to get adjusted odds ration. I have 1 binary categorical outcome dependent variable [SUPINFEC] and THREE different categorical predictor variables [WNDCLAS , SEX and AGE]. I want to calculate odds ratio for SUPINFEC while adjusting for SEX and AGE. In gender and age my reference category should be 0. I am using logistic command and getting this output. Can anyone confirm me is this sufficient or I have to use mhodds command.

logistic SUPINFEC ib1.WNDCLAS SEX, nolog

Logistic regression Number of obs = 29,714
LR chi2(4) = 12.55
Prob > chi2 = 0.0137
Log likelihood = -1272.5405 Pseudo R2 = 0.0049

------------------------------------------------------------------------------
SUPINFEC | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
WNDCLAS |
2 | 1.758506 .5750936 1.73 0.084 .9263409 3.338234
3 | 1.084204 .3938688 0.22 0.824 .5319703 2.209708
4 | .343202 .1431379 -2.56 0.010 .1515453 .7772437
|
SEX | 1.090288 .1525628 0.62 0.537 .8287692 1.43433
_cons | .0072803 .0006607 -54.24 0.000 .0060939 .0086976
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

[Clyde Schechter]

Well, if you want to adjust for age, it has to be included in the logistic regression. So

logistic SUPINFEC i.WNDCLAS i.SEX i.AGE