1
$\begingroup$

Given a dataset with multiple likelihood ratios (LRs) for predicting Heart Failure:

  • Previous Heart Failure = LR 2
  • Classical Exam Findings = LR 4
  • Previous Hypertension = LR 6

Assuming LR(Previous Heart Failure) and LR(Classical Exam Findings) are independent, I understand that a combined LR can be obtained through simple multiplication (i.e. 2 x 4).

However, LR(Previous Hypertension) and LR(Previous Heart Failure) cannot necessarily be deemed independent as Hypertension is a risk factor for Heart Failure.

Is their a method to combine LR(Previous Heart Failure) and LR(Previous Hypertension) into a similar combined LR?

We have a large amount of clinical data to calculate any additional data that is needed to combine dependendent LRs, but I have no idea how to approach this.

The end application is too generate a patient specific LR by combining the LRs from multiple variables (such as hypertension and heart failure).

Thanks

$\endgroup$

0

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Browse other questions tagged or ask your own question.