Hello,
This is my first post on this forum.
I am trying to compare the model performance of 3 logistic regression models I made in Stata to an already existing risk prediction model. I compared the logistic models' AUCs using:
The already existing risk prediction model, SCORE, is presented as a variable (float) for every observation - it is a risk presented as percentage. How can I compare the predictive ability of this SCORE variable for the binary IHD variable with my 3 models?
This is my first post on this forum.
I am trying to compare the model performance of 3 logistic regression models I made in Stata to an already existing risk prediction model. I compared the logistic models' AUCs using:
Code:
stepwise, pr(.05): logistic IHD LDLreceptor SELE APN CHI3L1 EGFR RARRES2 lroc, nograph predict xb1, xb stepwise, pr(.05): logistic IHD EV_IL2RA EV_TFF3 EV_CNTN1 EV_FABP4 EV_SELE EV_CXCL16 EV_IL6RA EV_TRAP EV_GP6 EV_APN EV_TNFSF13B EV_JAMA EV_tPA EV_RARRES2 EV_vWF EV_PECAM1 lroc, nograph predict xb2, xb stepwise, pr(.05): logistic IHD APN CHI3L1 RARRES2 EV_APN lroc, nograph predict xb3, xb roccomp IHD xb1 xb2 xb3, graph summary
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