[R] predictive accuracy

From: El-Tahtawy, Ahmed <Ahmed.El-Tahtawy_at_pfizer.com>
Date: Thu, 26 May 2011 08:42:37 -0400

I am trying to develop a prognostic model using logistic regression. I built a full , approximate models with the use of penalization - design package. Also, I tried Chi-square criteria, step-down techniques. Used BS for model validation.  

The main purpose is to develop a predictive model for future patient population. One of the strong predictor pertains to the study design and would not mean much for a clinician/investigator in real clinical situation and have been asked to remove it.  

Can I propose a model and nomogram without that strong -irrelevant predictor?? If yes, do I need to redo model calibration, discrimination, validation, etc...?? or just have 5 predictors instead of 6 in the prognostic model??  

Thanks for your help



        [[alternative HTML version deleted]]

R-help_at_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. Received on Thu 26 May 2011 - 12:45:47 GMT

This quarter's messages: by month, or sorted: [ by date ] [ by thread ] [ by subject ] [ by author ]

All messages

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Thu 26 May 2011 - 15:20:10 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive