Re: [R] Competing-risks nomogram

From: Firas Abdollah <>
Date: Sat, 25 Jun 2011 01:52:41 -0700 (PDT)

Many thanks for the prompt response.
However, I am afraid that it is not completely clear for me. I apologize, I am not a statistician.
Sorry, may be what I will say make totally non sense, but what I understood is the following:
Let's suppose that I need to predict cancer-specific survival using the variables X and Y. What I need to do is to develop a model that include these variables and predict cancer-specific survival using the competing-risks regression. Then, I shall calculate the "predictions" of this model at a certain time point, then I shall use these prediction as an "endpoint", and predict it using a linear regression model that include the same variables, i.e X and Y. Finally, I use the coefficients of this final model to develop a nomogram. Is that correct?

Many thanks again

Should I calculate the "prediction" of the competing-risks regression model, and then use this "prediction" as an "endpoint" and predict it using a linear regression by including the same variables as predictors?

On Fri, Jun 24, 2011 at 1:27 PM, Frank Harrell [via R] <> wrote:
> Replace the Design package with the rms package.  Use the ordinary linear
> regression trick to predict the linear predictor from the competing risk
> regression, then use nomogram on this new model (that merely represents the
> fit of interest).
> Frank
> Firas Abdollah wrote:
> Hi R users,
> I'd like to draw a nomogram using a competing-risks regression (crr function
> in R), rather than a cox regression. However, the nomogram function provided
> in the Design package is not good for this purpose.
> Do you have any suggestion.
> I really appreciate your help
> Many thanks
> F.Abdollah, MD
> San-Raffele hospital
> Milan, Italy
> Frank Harrell
> Department of Biostatistics, Vanderbilt University
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Firas Abdollah, MD
Dept. of Urology
San Raffaele Hospital
Vita-Salute University,
Via Olgettina 60, 20132, Milan, Italy
Tel. +39 02 2643 7286
Fax. +39 02 2643 7298

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