Re: [R] recommendation on B for validate.lrm () ?

From: Frank Harrell <>
Date: Sun, 01 May 2011 12:36:00 -0700 (PDT)

For this case B=200 should work well if using the bootstrap. For cross-val. you can use B=10-fold cross-val and repeat the process 100 times for adequate precision, averaging over the 100 as done in (note this was using the Design package and there may be subtle changes with the rms package).


viostorm wrote:
> I have a logistic regression model I'm trying to do k-fold cross
> validation on.
> The number of observations is approximately 550 and an event rate of about
> 30%
> Does anyone have a recommendation for a B value to use for this data set?

-----Frank Harrell
Department of Biostatistics, Vanderbilt University-- View this message in context: Sent from the R help mailing list archive at mailing list PLEASE do read the posting guide and provide commented, minimal, self-contained, reproducible code. Received on Thu 05 May 2011 - 06:25:08 GMT

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