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= Stata Logistic = = Stata logistic =

'''`-logistic-`''' fits a [[Statistics/LogisticModel|logistic model]].
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Adapted from [[https://stats.idre.ucla.edu/stata/dae/logistic-regression/|here]]:
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logistic dependent independent . use https://stats.idre.ucla.edu/stat/stata/dae/binary, clear

. logistic admit gre gpa i.rank

Logistic regression Number of obs = 400
                                                  LR chi2(5) = 41.46
                                                  Prob > chi2 = 0.0000
Log likelihood = -229.25875 Pseudo R2 = 0.0829

------------------------------------------------------------------------------
       admit | Odds ratio Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
         gre | 1.002267 .0010965 2.07 0.038 1.00012 1.004418
         gpa | 2.234545 .7414652 2.42 0.015 1.166122 4.281877
             |
        rank |
          2 | .5089309 .1610714 -2.13 0.033 .2736922 .9463578
          3 | .2617923 .0903986 -3.88 0.000 .1330551 .5150889
          4 | .2119375 .0885542 -3.71 0.000 .0934435 .4806919
             |
       _cons | .0185001 .0210892 -3.50 0.000 .0019808 .1727834
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.
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Compare the output of [[Stata/Logit|-logit-]], which ordinarily shows coefficients rather than odds ratios.
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[[https://www.stata.com/manuals/rlogistic.pdf|Stata manual for -logistic-]]

Stata logistic

-logistic- fits a logistic model.

Contents

  1. Stata logistic
    1. Usage
    2. See also

Usage

Adapted from here: 

. use https://stats.idre.ucla.edu/stat/stata/dae/binary, clear

. logistic admit gre gpa i.rank

Logistic regression                               Number of obs   =        400
                                                  LR chi2(5)      =      41.46
                                                  Prob > chi2     =     0.0000
Log likelihood = -229.25875                       Pseudo R2       =     0.0829

------------------------------------------------------------------------------
       admit | Odds ratio   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         gre |   1.002267   .0010965     2.07   0.038      1.00012    1.004418
         gpa |   2.234545   .7414652     2.42   0.015     1.166122    4.281877
             |
        rank |
          2  |   .5089309   .1610714    -2.13   0.033     .2736922    .9463578
          3  |   .2617923   .0903986    -3.88   0.000     .1330551    .5150889
          4  |   .2119375   .0885542    -3.71   0.000     .0934435    .4806919
             |
       _cons |   .0185001   .0210892    -3.50   0.000     .0019808    .1727834
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

Compare the output of -logit-, which ordinarily shows coefficients rather than odds ratios.

See here for details on factor variables.

See also

Stata manual for -logistic-

Stata manual for logistic post-estimation

CategoryRicottone

Stata/Logistic (last edited 2025-10-24 18:25:32 by DominicRicottone)