Part II of this work addresses the use of likelihood ratios for the calculation of a positive predictive value (PPV) and a negative predictive value (NPV) for patient diagnosis. These two values are the most useful indices in the application of a diagnostic test in order to make a diagnosis for a patient. Furthermore, the relevance of sample size is also addressed by providing background theory and pertinent tables. These basic topics for assessing the validity of a diagnostic test and for performing appropriate and valid case vs control studies are explained in a simple way for a clinical audience with a working example.

Statistical methods for evidence-based medicine : the diagnostic test (Part II) / P. Antonelli, D. Chiumello, B.M. Cesana. - In: MINERVA ANESTESIOLOGICA. - ISSN 1827-1596. - 74:9(2008 Sep), pp. 481-488.

Statistical methods for evidence-based medicine : the diagnostic test (Part II)

D. Chiumello
Secondo
;
2008

Abstract

Part II of this work addresses the use of likelihood ratios for the calculation of a positive predictive value (PPV) and a negative predictive value (NPV) for patient diagnosis. These two values are the most useful indices in the application of a diagnostic test in order to make a diagnosis for a patient. Furthermore, the relevance of sample size is also addressed by providing background theory and pertinent tables. These basic topics for assessing the validity of a diagnostic test and for performing appropriate and valid case vs control studies are explained in a simple way for a clinical audience with a working example.
diagnostic tests, routine; predictive value of tests; roc curve; sample size; evidence-based medicine
Settore MED/41 - Anestesiologia
set-2008
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/513982
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