Re: [R] logistic regression model validation through bootstrapping

Install the Design and Hmisc package then do: library(Design) ?validate.lrm ?calibrate Resampling methods such as the bootstrap and cross-validation assume you have done no model/variable selection outside the bootstrap look, i.e., you let the bootstrap repeat all modeling steps that used Y. v

Re: [R] logistic regression model validation through bootstrapping

Vivienne Ozohili wrote: >> I am currently trying to implement a boostrapping approach to validation >> but don't know where to start. Help please. Take a look at Prof. Harrell's ?validate.lrm in package Design. Regards, Mark. Vivienne_O.Ozohili wrote: > > > Hi, > > I was wondering whether

Re: [R] logistic regression model validation through bootstrapping

Hi, I was wondering whether this query was addressed on how to perform validation through boostrapping. I am currently trying to implement a boostrapping approach to validation but don't know where to start. Help please. Thank you and Regards, Vivienne Ozohili Risk Model Validation Manager Gro

Re: [R] logistic regression model validation through bootstrapping

Van Dyke, Alison wrote: I'm new to R and to validation of logistic regression models via bootstrapping. I see that there are various approaches to bootstrapping, and I am wondering (1) which approach would be best for internal validation of predictive discrimination, (2) are there any good re

[R] logistic regression model validation through bootstrapping

I'm new to R and to validation of logistic regression models via bootstrapping. I see that there are various approaches to bootstrapping, and I am wondering (1) which approach would be best for internal validation of predictive discrimination, (2) are there any good resources that could be reco