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Chapter 2 - Dichotomous Tests

Published online by Cambridge University Press:  02 May 2020

Thomas B. Newman  and
Michael A. Kohn
Thomas B. Newman
Affiliation:
University of California, San Francisco
Michael A. Kohn
Affiliation:
University of California, San Francisco
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Summary

For a test to be useful, it must be informative; that is, it must (at least some of the time) give different results depending on what is going on. In Chapter 1, we said we would simplify (at least initially) what is going on into just two homogeneous alternatives, D+ and D−. In this chapter, we consider the simplest type of tests, dichotomous tests, which have only two possible results (T+ and T−).

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Evidence-Based Diagnosis
An Introduction to Clinical Epidemiology
 , pp. 8 - 46
Publisher: Cambridge University Press
Print publication year: 2020

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References

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  • Dichotomous Tests
  • Thomas B. Newman, University of California, San Francisco, Michael A. Kohn, University of California, San Francisco
  • Book: Evidence-Based Diagnosis
  • Online publication: 02 May 2020
  • Chapter DOI: https://doi.org/10.1017/9781108500111.003
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  • Dichotomous Tests
  • Thomas B. Newman, University of California, San Francisco, Michael A. Kohn, University of California, San Francisco
  • Book: Evidence-Based Diagnosis
  • Online publication: 02 May 2020
  • Chapter DOI: https://doi.org/10.1017/9781108500111.003
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Dichotomous Tests
  • Thomas B. Newman, University of California, San Francisco, Michael A. Kohn, University of California, San Francisco
  • Book: Evidence-Based Diagnosis
  • Online publication: 02 May 2020
  • Chapter DOI: https://doi.org/10.1017/9781108500111.003
Available formats
×