Which statistical principles are you invoking on which to base such analyses? Frank
Sergio Della Franca wrote: > > Dear R-Helpers, > > I want to perform a logistic regression on my dataset (y). > > I used the following code: > > logistic<-glm(formula="interest_variable"~.,family = binomial(link = > logit), > data = y) > > > This run correctly. > Then i want to develop the logistic regression with three different > method: > -forward > -backward > -stepwise > > I used these procedure: > forward<-step(logistica,direction="forward") > backward<-step(logistica,direction="backward") > stepwise<-step(logistica,direction="both") > > Even these run correctly, but i obtained the same results with the three > different procedures. > > Then I tought i made some mistakes. > > My question is: > > Is correct what i did? > Is correct that three different methods return the same results? > > If i made some mistakes, what is the correct method to correctly perform > the > three different logistics regression? > > > Thank you in advance. > > > Sergio Della Franca. > > [[alternative HTML version deleted]] > > ______________________________________________ > r-h...@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Logistic-Regression-tp821301p3588135.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
