[R] interpreting bootstrap corrected slope [rms package]

[apeer]

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.