Risk Stratification Table - how to obtain the predicted probability cutoff from the pre-determined specificity

Machine Learning and Modeling
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Hello guys,

I am currently looking to build a risk stratification table and would be grateful for all the advice.

I know how to obtain the specific probability cutoff (i.e. using the AUC graph) from the best balance between sensitivity & specificity. Now, I want to do this analysis reversely but I am stuck with the following questions:

  1. how can we obtain a predicted probability cutoff from the specific specificity (e.g. 90%)?
  2. how can we obtain the percentage of participants testing positive with the disease from the above predicted probability cutoff?

(Demonstration via R code would be greatly appreciated!)

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