Dear colleague,
while doing logistic regression with STATA, we received the following
output (see below).
What does this mean "note: 304 failures and 24 successes completely
determined"?
When we check the variables separately for association with the outcome
variable, we receive the usual output.
The odds ratios are very extreme, does this cause any problem in the model?
Best regards and thank you very much,
Jorg Heukelbach
Federal University of Cear=E1
Brazil
logistic tung0_heavy educ_2_mvh houstyp_m01_p houseflo_2_mvh
toilets_2 watersup_2_p wastedis_mvh houlight_2 pig dog cat
> _mvh wareshoe_2_p restinp_2_p soaptype_2_p causjig2_sm_2_p
preve2_mvh treat_01_mvh
Logistic regression Number of obs
=3D 330
LR chi2(16) =3D
177.07
Prob > chi2 =3D
0.0000
Log likelihood =3D -3.387e-08 Pseudo R2 =3D
1.0000
---------------------------------------------------------------------------=
---
tung0_heavy | Odds Ratio Std. Err. z P>|z| [95% Conf.
Interval]
-------------+-------------------------------------------------------------=
---
educ_2_mvh | 2.08e+09 1.68e+13 0.00 0.998
0 .
houstyp_m0~p | 1.15e-06 . . .
=2E .
houseflo_2~h | .0026595 . . .
=2E .
toilets_2 | .0008542 . . .
=2E .
watersup_2_p | 1.24e-06 . . .
=2E .
wastedis_mvh | 8687.32 . . .
=2E .
houlight_2 | 8.01e+09 . . .
=2E .
pig | 3.95e+21 4.31e+25 0.00 0.996
0 .
dog | 1804.547 . . .
=2E .
cat_mvh | .0148009 . . .
=2E .
wareshoe_2_p | .000098 . . .
=2E .
restinp_2_p | 4.62e-13 . . .
=2E .
soaptype_2_p | 6.59e-13 . . .
=2E .
causjig2_s~p | 1639938 . . .
=2E .
preve2_mvh | 68868.13 . . .
=2E .
treat_01_mvh | .000186 . . .
=2E .
---------------------------------------------------------------------------=
---
note: 304 failures and 24 successes completely determined.
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