Displaying 1 result from an estimated 1 matches for "l_exp_coef".
2011 Dec 01
1
logistic regression - glm.fit: fitted probabilities numerically 0 or 1 occurred
...ying values for
y=1 and y=0? In other words, I don't think I have the linear separation
issue discussed in one of the links I provided.
PS - Then I do this and I get a odds ratio a crazy size:
> l_sm = summary(l_logit) # coef pval is $coefficients[8], log odds
$coefficients[2]
> l_exp_coef = exp(l_logit$coefficients)[2] # exponentiate the
coeffcients
> l_exp_coef
x
3161.781
So for one unit increase in the predictor variable I get 3160.781%
(3161.781 - 1 = 3160.781) increase in odds? That can't be correct either.
How do I correct for this issue? (I tried multiplying...