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Glossary of Terms

We know that many of the concepts used on this site can be difficult to understand. For that reason, we have provided you with a glossary to help you make sense of the terms used in Comparative Effectiveness Research. Every word that is defined in this glossary should appear highlighted throughout the Web site. When you come upon a highlighted term and would like to read the full definition, you can either click on the word to visit the glossary or roll your mouse over the word for a pop-up definition.

 

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Negative Predictive Value

Definition: Indicates the likelihood that people with a negative test result would not have a condition. The higher the value of the negative predictive value (for example, 99 percent would usually be considered a high value), the more useful the test is for predicting that people do not have the condition.

Example: For example, the negative predictive value (PV-) of a normal Prostate Specific Antigen (PSA) test in prostate cancer screening is about 98 percent. It is very unlikely that men with a normal PSA test result on routine screening have the disease.

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