logistic regression for each group*holding all other variables constant

[Hm Saleh]

Hi,
Do you know how I can run the logistic regression for each age or education group holding all other variables constant?

Thank you,

[Carlo Lazzaro]

See -bysort-.
That said, I would go:

logistic depvar i.age i.group otherindepvar controls

[Hm Saleh]

Hi Carlo,

Thank you for your reply. My code is
Code:

logistic Livebirths i. EDUCATION HISPANIC hefaminc BLACK Married Divorced, coef

For the logistic regression on whether the woman had at least one child, or not, calculate the expected probability of having at least one child for a white, nonHispanic woman in each level of education, and hold all other variables constant.

I can not attach a pic of the result!

[Hm Saleh]

I attached PIC

[Carlo Lazzaro]

https://www.statalist.org/forums/help#adviceextras #4?

[Hm Saleh]

Do you mean this is HW?
No this is my own work.

[Carlo Lazzaro]

As you may agree

For the logistic regression on whether the woman had at least one child, or not, calculate the expected probability of having at least one child for a white, nonHispanic woman in each level of education, and hold all other variables constant.

sounds like an assignment question.
As I've decided to trust you, the following toy-example mught be useful:

. use https://www.stata-press.com/data/r17/lbw
(Hosmer & Lemeshow data)

. logistic low age lwt i.race smoke ptl ht ui

Logistic regression                                     Number of obs =    189
                                                        LR chi2(8)    =  33.22
                                                        Prob > chi2   = 0.0001
Log likelihood = -100.724                               Pseudo R2     = 0.1416

------------------------------------------------------------------------------
         low | Odds ratio   Std. err.      z    P>|z|     [95% conf. interval]
-------------+----------------------------------------------------------------
         age |   .9732636   .0354759    -0.74   0.457     .9061578    1.045339
         lwt |   .9849634   .0068217    -2.19   0.029     .9716834    .9984249
             |
        race |
      Black  |   3.534767   1.860737     2.40   0.016     1.259736    9.918406
      Other  |   2.368079   1.039949     1.96   0.050     1.001356    5.600207
             |
       smoke |   2.517698    1.00916     2.30   0.021     1.147676    5.523162
         ptl |   1.719161   .5952579     1.56   0.118     .8721455    3.388787
          ht |   6.249602   4.322408     2.65   0.008     1.611152    24.24199
          ui |     2.1351   .9808153     1.65   0.099     .8677528      5.2534
       _cons |   1.586014   1.910496     0.38   0.702     .1496092     16.8134
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. predict prob_pred_1 if smoke==1 & race==0
(option pr assumed; Pr(low))
(189 missing values generated)

. predict prob_pred_2 if smoke==1 & race==1
(option pr assumed; Pr(low))
(137 missing values generated)

. predict prob_pred_3 if smoke==1 & race==2
(option pr assumed; Pr(low))
(179 missing values generated)

.