Logistisk regression
Logistisk regression
Logistisk regression
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u n i v e r s i t y o f c o p e n h a g e n<br />
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<br />
Multipel logistisk <strong>regression</strong><br />
Hvordan afhænger risikoen for CHD af køn, alder, rygning og SBP<br />
( ) pi<br />
ln<br />
1 − p i<br />
= a + b 1 mand i + b 2 ryger i + b 3 alder i + b 4 log 2 (SBP i )<br />
Estimation<br />
> glm6 summary(glm6)<br />
Call:<br />
glm(formula = chdI ~ mand + ryger + age + I(log2(sbp)), family =<br />
binomial)<br />
Deviance Residuals:<br />
Min 1Q Median 3Q Max<br />
-1.4921 -0.6893 -0.5332 -0.3615 2.5142<br />
Coefficients:<br />
Estimate Std. Error z value Pr(>|z|)<br />
(Intercept) -19.74839 2.15012 -9.185 < 2e-16 ***<br />
mand 0.86400 0.15487 5.579 2.42e-08 ***<br />
ryger1 0.18504 0.15180 1.219 0.222858<br />
age 0.05376 0.01531 3.511 0.000446 ***<br />
I(log2(sbp)) 2.07204 0.28337 7.312 2.63e-13 ***<br />
><br />
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