Hi,
Just to extend the excellent suggestions, if you are interested in the
odds ratio, you can just use exp():
#Odds Ratio
exp(fit4$coefficients)
#Confidence interval around OR
exp(confint(fit4))
To give you an idea graphically of the log odds (or logit) look at:
p <- seq(0, 1, by = .001)
plot
Medicine
jsor...@grecc.umaryland.edu
-Original Message-
From: Bessy
To:
Sent: 7/27/2010 11:40:33 AM
Subject: [R] standard error of Binary logistic regression coefficient.
Dear all,
I am struggling with the calculation of standard error of the coefficient in
Binary logistic regression
Maryland School of Medicine
Division of Gerontology and Geriatric Medicine
jsor...@grecc.umaryland.edu
-Original Message-
From: Bessy
To:
Sent: 7/27/2010 11:40:33 AM
Subject: [R] standard error of Binary logistic regression coefficient.
Dear all,
I am struggling with the calculation of
Dear all,
I am struggling with the calculation of standard error of the coefficient in
Binary logistic regression analysis.
I built a binary logsitic regression model as follows and got confused since
the calculation of standard error of coefficients of X1, X2 and X3 are not
the same as the Line
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