Sensitivity and specificity in Markov model

Dear TP modelers: 

I am working on a project comparing screening test strategies using a decision tree/ Markov model. And this is my simplified model, and I am confused if I use the bayesian revision before the markov model, is that means the following surveillance only runs in the markov cycle and there will not be a sensitivity and specificity differences for the test in subsequent stages? How can I improve the structure of the model?

Thanks for any help!



1 comment
  • Official comment


    Feel free to contact with your serial number and I can provide you some further advice.


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