Vif Regression Stata. The collinearity measure variance inflation factor VIF. Jan 13 2015 In Stata you can use the vif command after running a regression or you can use the collin command written by Philip Ender at UCLA.
Aug 23 2019 I think even people who believe in looking at VIF would agree that 245 is sufficiently low. Vif is the variance inflation factor which is a measure of the amount of multicollinearity in a set of multiple regression variables. In statistics in my opinion.
Multic is a problem with the X variables not Y and does not depend on the link function.
Variance inflation factors VIF measure how much the variance of the estimated regression coefficients are inflated as compared to when the predictor variables are not linearly related. It has one option uncentered which calculates uncentered variance inflation factors. The collinearity measure variance inflation factor VIF. As far as syntax goes estat vif takes no arguments.
