You also did unaccounted for stepwise selection. Regarding the proportional odds assumption, if you assessed it correctly, something that is not operating proportionally would have to be associated with the outcome for at least one cutoff of Y, so you could say that you are doing reverse screening that will need to be accounted for in resampling. Frank
apeer wrote: > > I guess I must be misunderstanding the point of checking the ordinality > assumptions prior to fitting a model. Are you saying that a response > variable that does not behave in an ordinal fashion can still be included > in the initial and final model? > ----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/interpreting-bootstrap-corrected-slope-rms-package-tp3928314p3931493.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.
