Mathematical derivation of the odds form of Bayes theorem

Steve Simon

2006-10-16

Categories: Blog post Tags: Diagnostic testing

[StATS]: Mathematical derivation of the odds form of Bayes theorem (October 16, 2006)

I had included some rather technical details on my web page about likelihood ratios, but I thought it would be best to move it to a separate page. Define the following terms:

With this notation, we can describe all the classic measures for diagnostic tests:

Bayes Theorem, a classic result of probability theory, tells us that

Notice that the denominators are the same for the above two fractions. So when you compute the ratio of these two probabilities, you get

When the test is negative, we get a similar result:

Note that Se/(1-Sp) is the formula for the likelihood ratio of a positive result and that (1-Se)/Sp is the formula for the likelihood ratio for a negative result.

This page was written by Steve Simon while working at Children’s Mercy Hospital. Although I do not hold the copyright for this material, I am reproducing it here as a service, as it is no longer available on the Children’s Mercy Hospital website. Need more information? I have a page with general help resources. You can also browse for pages similar to this one at Category: Diagnostic testing.

testing](../category/DiagnosticTesting.html). for pages similar to this one at [Category: Diagnostic with general help resources. You can also browse Children’s Mercy Hospital website. Need more information? I have a page reproducing it here as a service, as it is no longer available on the Hospital. Although I do not hold the copyright for this material, I am This page was written by Steve Simon while working at Children’s Mercy