Nomogram is user-friendly, but the equation is also acceptable. It should be
kept in mind that the process of model development really counts.

BTW: You can calculate C-index (AUC) in SPSS. Calibration plot can also be
plotted (may be manually) from the result of SPSS.

*Yao Zhu*
*Department of Urology
Fudan University Shanghai Cancer Center
Shanghai, China*


2011/8/1 sytangping <surgeon666666@yahoo.com.cn>

> Dear R users,
>
> I am a new R user and something stops me when I try to write a academic
> article. I want to make a nomogram to predict the risk of prostate cancer
> (PCa) using several factors which have been selected from the Logistic
> regression run under the SPSS. Always, a calibration plot is needed to
> validate the prediction accuracy of the nomogram.
> However, I tried many times and read a lot of posts with respect to this
> topic but I still couldn't figure out how to draw the nomogram and the
> calibration plot. My dataset and questions in detail are shown in two
> attached files. It will be very grateful if someone can save his/her time
> to
> help for my questions.
>
> Warmest regards!
>
> Ping Tang   http://r.789695.n4.nabble.com/file/n3710068/Dataset.xls
> Dataset.xls  http://r.789695.n4.nabble.com/file/n3710068/R_help.doc
> R_help.doc
>
> --
> View this message in context:
> http://r.789695.n4.nabble.com/How-to-make-a-nomogam-and-Calibration-plot-tp3710068p3710068.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.
>

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