After logistic regression, odds ratio were reported. I used the syntax of 'margins' to get other result. It seems that these results from margins were risk rather than odds. If margins resulted in risk rates, how to change the output of logistic regression from odds ratio (by default it's odds ratio) to risk ratio? Much appreciated!
Tom
Tom
Code:
. logistic firsttherapeuticinrreached i.nonaaornonanona i.ageforttest i.af i.ttesttargetinr
Logistic regression Number of obs = 187
LR chi2(4) = 25.32
Prob > chi2 = 0.0000
Log likelihood = -84.409294 Pseudo R2 = 0.1304
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firsttherapeuticinrreached | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
1.nonaaornonanona | .1526829 .073589 -3.90 0.000 .0593656 .3926867
1.ageforttest | 2.916752 1.356175 2.30 0.021 1.172531 7.255625
1.af | .3494673 .161598 -2.27 0.023 .1411888 .8649931
1.ttesttargetinr | 2.409212 1.35103 1.57 0.117 .8026778 7.231175
_cons | 4.008227 1.200546 4.64 0.000 2.228436 7.209492
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. margins i.nonaaornonanona
Predictive margins Number of obs = 187
Model VCE : OIM
Expression : Pr(firsttherapeuticinrreached), predict()
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| Delta-method
| Margin Std. Err. z P>|z| [95% Conf. Interval]
----------------+----------------------------------------------------------------
nonaaornonanona |
0 | .8367911 .0286637 29.19 0.000 .7806114 .8929709
1 | .4675317 .0984477 4.75 0.000 .2745778 .6604856
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. margins r.nonaaornonanona
Contrasts of predictive margins
Model VCE : OIM
Expression : Pr(firsttherapeuticinrreached), predict()
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| df chi2 P>chi2
----------------+----------------------------------
nonaaornonanona | 1 12.88 0.0003
---------------------------------------------------
-----------------------------------------------------------------
| Delta-method
| Contrast Std. Err. [95% Conf. Interval]
----------------+------------------------------------------------
nonaaornonanona |
(1 vs 0) | -.3692594 .1028906 -.5709214 -.1675975
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