Stata logistic
-logistic- fits a logistic model.
Contents
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
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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
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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 post-estimation