Test’s Sensitivity and Specificity

Fundamentally, any medical practitioner or health institution will never treat a disease of condition appropriately without correctly diagnosing the disease or condition. Many clinical tests rely on the sensitivity and specific value to confirm or refute the reliability of the presence of a disease/condition or diagnostic process. In an ideal condition, good clinical test will correctly identify all patients with the disease (positives) in question and negatively verify patients without the disease (negatives). However, these tests are not error proof or ideal tests. Hence, clinicians often deals with false positive and false negative results. Some of the fundamental criteria that deals with sensitivity and specificity of a test include but are not limited to the following, true positive, false positive, true negative, false negative, positive predictive value (PPV) and negative predictive (NPV) (Lalkhen, & McCluskey, 2008). Therefore, to address sensitivity and specificity appropriately, understanding the fundamental concepts of these terms

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