Dr. Harrell, Thanks for your response. The predictor variables I initially included in the model were based on the x mean plots and whether they exhibited ordinality and whether they appeared to meet the CR assumptions. Only 7 of 16 potential variables fit that designation and those are the variables I initially included. I then used backward variable selection, which selected 3 significant terms. Does that seem reasonable?
Also, are you saying that if the exceedence probabilites for the middle Y category have a wide range then keeping the model as is would be fine for future predictions? Thanks for your time, Adam -- View this message in context: http://r.789695.n4.nabble.com/interpreting-bootstrap-corrected-slope-rms-package-tp3928314p3930088.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.
