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. ChiumelloSecondo
;
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.Pubblicazioni consigliate
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