Stepwise Logistic Regression with R
Stepwise Logistic Regression with R ... = 2k + Deviance, where k = number of parameters Small numbers are better Penalizes models with lots of parameters Penalizes models with poor fit > fullmod = glm(low ~ age+lwt+racefac+smoke+ptl+ht+ui+ftv,family=binomial) ... > # Here was the chosen model from earlier > redmod1 = glm(low ~ lwt+racefac ...
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