![]() ![]() ![]() ![]() Develop the prediction model in the orignial data and determine the apparent AUC.ģ. Simulate area = r(area_bootstrap), reps(200) seed(12345) saving(`sim_results'): optimism use 'sim_results', clearĪccording to TRIPOD explanation and elaboration, the bootstrap validation should include 6 steps:ġ. Logit AO agec i.sex i.jobm i.incomef i.snec bmi i.lungsymp i.mrcyn i.diaasthma The following is my code according to your suggestion in website: I used the following code in internal validation of our model, and get the new file of area (bootstrap AUC), diff (bootstrap AUC-base AUC (only one base AUC?)) and optimism (final AUC, I suppose?) of 200 bootstrap samples. ![]()
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