1/ Hey #medtwitter, what do you know about diagnostic odds ratios and how they are used?
It’s time for another round of #statswithCoreIM!
Let’s start by considering dichotomous test characteristics:
It’s time for another round of #statswithCoreIM!
Let’s start by considering dichotomous test characteristics:
2/ Diagnostic Odds Ratios are different, and special, because they allow us to use one single number to describe how good a diagnostic test is.
3/ For example, let’s consider the DORs of some diagnostic tests of the flu:
😷Cough - 2.8
😷Fever - 4.5
😷Rapid flu swab ~ 15
😷Flu PCR ~ 100
(And stay tuned for another Steve & Janine podcast on the flu next Wednesday!)
😷Cough - 2.8
😷Fever - 4.5
😷Rapid flu swab ~ 15
😷Flu PCR ~ 100
(And stay tuned for another Steve & Janine podcast on the flu next Wednesday!)
4/ What’s the point? A DOR is useful to compare tests to each other - for example, in a meta-analysis.
However, when interpreting your patient’s test results, you must consider the test result, the test’s properties and the local disease prevalence.
However, when interpreting your patient’s test results, you must consider the test result, the test’s properties and the local disease prevalence.
5/ Or, as @AdamRodmanMD might say: test characteristics matter, as we need to know them.
Check out all the graphics for this post and all our other posts on our website: coreimpodcast.com
Happy learning!
/fin
Check out all the graphics for this post and all our other posts on our website: coreimpodcast.com
Happy learning!
/fin
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