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Tools for Decision Making Sections
Author Bio
Introduction
Probability Theory
Case Study 1: Patient History
Bayes' Theorem
Methods for Estimating Pre-test Probability
Estimating Likelihood Ratios
Sensitivity and Specificity
Interpreting Test Results
Calculating Post-test Probabilities
Currently selected section: Post-test Probabilities in Clinical Practice
Conclusions: Case Study 1
Part II
Part III
References

 

Chapter 14: Tools for Decision Making: Post-test Probability in Clinical Practice

        

 

You Answered:

Selection B Probably no

Incorrect

The correct answer is: (A).

It is likely that most physicians would not do further tests for CAD when the probability is this low. With a pre-test probability of 0.04, most patients would not have CAD, so true-positive results would be infrequent. False-positive results would be frequent, since most patients would not have CAD.




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