Logistisk regression

u n i v e r s i t y o f c o p e n h a g e n
Kvantificering af alderseffekten
OR incl konfidensintervaller
> glm3 summary(glm3)
d e p a r t m e n t o f b i o s t a t i s t i c s
Deviance Residuals:
Min 1Q Median 3Q Max
-0.8129 -0.6704 -0.6103 -0.5536 1.9756
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.9378 0.1230 -7.625 2.43e-14 ***
ageGrpNy1 -0.8605 0.1949 -4.415 1.01e-05 ***
ageGrpNy2 -0.6484 0.1867 -3.472 0.000516 ***
ageGrpNy3 -0.4407 0.1862 -2.366 0.017981 *
--
(Dispersion parameter for binomial family taken to be 1)
Null deviance: 1351.2 on 1362 degrees of freedom
Residual deviance: 1328.7 on 1359 degrees of freedom
AIC: 1336.7
Number of Fisher Scoring iterations: 4
> round( cbind( exp(glm3$coef[-1]), exp(confint(glm3))[-1,] ),2 )
Waiting for profiling to be done...
2.5 % 97.5 %
ageGrpNy1 0.42 0.29 0.62
ageGrpNy2 0.52 0.36 0.75
ageGrpNy3 0.64 0.45 0.93
>
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