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

 

Chapter 14: Tools for Decision Making: Case Study 1: Bayes' Theorem

        

 

You Answered:

Selection AThe characteristics of the patient have no impact on test interpretation.

Incorrect

The correct answer is: (C).

Bayes' theorem tells us that the characteristics of the patient that determine the pre-test probability of disease are very important determinants of the meaning of a diagnostic test result. You can't interpret a test without taking into account these characteristics.






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