Summary table of different Cox PHM models to compare them

research methods
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Dear profesor @f2harrell and datamethods community.
I want to summarize different Cox models that I have fitted in order to try to show in a glance the most important parameters.

This is the table that I am proposing but I do not know if there is something important missing that can be added or other information that is would not be useful at all.

Can you help me please in this task?

Title 1 Index Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8
Model Tests LR X2 data data data data data data data 0.644
d.f. data data data data data data data 16
Score X2 data data data data data data data 770.24
Discrimination Indexes R2 data data data data data data data 0.644
Dxy data data data data data data data -0.744
R216,501 data data data data data data data 0.738
Accuracy Concordance data data data data data data data 0.872
AIC data data data data data data data 5317
AIC X2 scale data data data data data data data 660
data data data data data data data data data
Validation * LR R2 data data data data data data data 0.621
Dxy data data data data data data data -0.734
Slope data data data data data data data 0.938

Thank you!
Marc

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That looks pretty good, but don’t forget the most important thing: re-sampling-based smooth nonparametric calibration curve plots.

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Thank you so much for your help,
do you mean to add the plots of the calibration procedure shown in 21.5 of Regression modeling strategies https://hbiostat.org/rmsc/coxcase.html#validating-the-model?

Thank you!
Marc

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Yes, the approach that does not use stratified K-M estimates.

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