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Tools for Decision Making Sections
Author Bio
Introduction
Probability Theory
Currently selected section: 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
Post-test Probabilities in Clinical Practice
Conclusions: Case Study 1
Part II
Part III
References

 

Chapter 14: Tools for Decision Making: Case Study 1: Patient History

        

 

You Answered:

Selection B0.21 to 0.40

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At this point, there is no right or wrong answer --- just your current best estimate. Keep this number in mind as you use the various tools for decision making and see if they result is similar or different estimates for the probability that this patient's pain is due to myocardial ischemia (not enough oxygen getting to an area of heart muscle).






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