A likelihood approach to diagnostic tests in clinical medicine

Authors

  • Basílio de Bragança Pereira Universidade Federal do Rio de Janeiro
  • Carlos Alberto de Bragança Pereira Universidade de São Paulo

DOI:

https://doi.org/10.57805/revstat.v3i1.19

Keywords:

credibility, diagnosability, likelihood, plausibility, sensitivity, significance, specificity

Abstract

This paper presents a pure likelihood approach to statistical inference and its relation to diagnostic tests in clinical medicine. The standard antagonistic frequentist approaches of Fisher and Neyman–Pearson–Wald, and the Bayesian perspective are discussed. We advocate that in medicine, usually, the likelihood is the only source of information available. Also, it is shown that there is no difference of interpretation of the concept of likelihood in statistics and in clinical diagnostic tests. This contradicts what is usually stated.

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Published

2005-06-30

How to Cite

de Bragança Pereira , B., & de Bragança Pereira , C. A. (2005). A likelihood approach to diagnostic tests in clinical medicine. REVSTAT-Statistical Journal, 3(1), 77–98. https://doi.org/10.57805/revstat.v3i1.19

Issue

Vol. 3 No. 1 (2005): REVSTAT-Statistical Journal

Section

Article

License

Copyright (c) 2005 REVSTAT-Statistical Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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