It common knowledge, that for linear function f(x) we can write logit
trnsformation geting logistics regression: (for binary response)
logit(p)=log(p/(1-p))=f(x)
then p=exp[f(x)]/{1+exp[f(x)]}
For me it's reasonable to use nonlinear function i.e. f(x) is a nonlinear
function. Am I right.
If so, could you give me some references to justifice my approach.
I would appreciate any help
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