. use "arthritis.dta"
. ologit y4 age trt
Iteration 0: log likelihood = -413.42842
Iteration 1: log likelihood = -407.07573
Iteration 2: log likelihood = -407.05473
Iteration 3: log likelihood = -407.05473
Ordered logistic regression Number of obs = 293
LR chi2(2) = 12.75
Prob > chi2 = 0.0017
Log likelihood = -407.05473 Pseudo R2 = 0.0154
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y4 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
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age | .0204812 .0098323 2.08 0.037 .0012103 .0397521
trt | -.6078954 .2142221 -2.84 0.005 -1.027763 -.1880279
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/cut1 | -1.211765 .5316308 -2.253742 -.1697877
/cut2 | .5251197 .5248857 -.5036373 1.553877
/cut3 | 2.149424 .538061 1.094844 3.204005
/cut4 | 4.136571 .6121251 2.936828 5.336314
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