Dear Harrell,
Many thanks for your quick response!
However, after try and try, I still have difficulty to solve my questions.
I post my questions again. I hope someone can help me run the data and draw
the nomogram and calibration plot for me. I know that is not good but indeed
I have no way to
The nomogram you included was produced by the Design package, the precursor
to the rms package. You will have to take the time to intensively read the
rms package documentation. Note that how you developed the model (e.g.,
allowing for non-linearity in log PSA, not using stepwise regression
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
I want to add a comment related to the calibration plot that was presented in
a previous post (which probably cannot be done optimally in SPSS). The plot
lacks sufficient resolution in the x-axis values that are calibrated. It is
far better to use loess to estimate a smooth nonparametric
Kindly do not attach questions in a separate document.
Install and read the documentation for the R rms package, and see handouts
at http://biostat.mc.vanderbilt.edu/rms
Frank
sytangping wrote:
Dear R users,
I am a new R user and something stops me when I try to write a academic
article.
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
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