search for: l_exp_coef

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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...