Negative predictive value

Negative predictive value is how convincing or believable a negative test is in a given population

The negative predictive value (NPV) of a test relates to how believable a negative test is within a given population. Negative predictive value is important with diagnostic tests that are designed to detect healthy people.
For negative predictive value, researchers focus on this part of the 2x2 table:
Negative predictive value (NPV) is focused on the participants that tested negative for the diagnostic test.
Everyone in the calculation for negative predictive value tested "negative" using the diagnostic test. Thus, researchers can calculate the proportion of people without the disease as measured by "gold standard" that tested "negative" using the test. With higher values of negative predictive value, the "believability" or confidence of the test increases.  
Here is the formula for negative predictive value:
Negative predictive value (NPV) is a calculation related to how believable a negative test result is in a given population.
Negative Predictive Value (NPV)
Click on the Diagnostic Accuracy button to continue.
Diagnostic Accuracy
Back to Diagnostic Testing
Research Engineer Home Page

Statistician For Hire

$100.00
Buy Now

DO YOU NEED TO HIRE A STATISTICIAN?

Eric Heidel, Ph.D. will provide statistical consulting for your research study at $100/hour. Secure checkout is available with PayPal, Stripe, Venmo, and Zelle.

  • Statistical Analysis
  • Sample Size Calculations
  • Diagnostic Testing and Epidemiological Calculations
  • Psychometrics