Dear STATAusers,
Suppose I perform a
logistic regression on this dataset:
Variable Data
-----------------------------------
sym
binomial
type
binomial
dumclass3 binomial
So the command is:
logistic sym type pH
Suppose I've this result:
------------------------------------------------------------------------------------
Logit
estimates
Number of obs = 4848
LR chi2(2) = 297.12
Prob > chi2 = 0.0000
Log likelihood =
-752.84441
Pseudo R2 = 0.1648
------------------------------------------------------------------------------
sym | Odds
Ratio Std. Err. z
P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
type |
10.98154 1.644385 16.00
0.000 8.188485 14.72729
dumclass3 | 1.63897
.2841108 2.85
0.004 1.166857 2.302101
------------------------------------------------------------------------------
------------------------------------------------------------------------------------
Now ... it's clear that when dumclass3=0 then OR being type=1 and sym=1 is
10.98,
and when dumclass3=1 then OR being type=1 and sym=1 is
10.98*1.63=17.89
The question is: which is the CI for the OR
17.89? Is it 8.1*1.1=9.4
and 14.7*2.3=33.8 (i.e. the product of the
two CI)?
Thanks for the anwers you'll send
me.
Dr. Tommasangelo PETITTI
---------------------------------------
Medical Directorate
University Hospital Campus Biomedico
+39-6-22541521