To calculate probabilities of disease using a likelihood ratio:
Comparing likelihoods (or odds) is different than comparing percentages. (or probabilities).
The likelihood ratio is an alternative to sensitivity and specificity for the numeric interpretation of diagnostic tests. In a randomized controlled trial that compared the two methods, physicians were able to use both similarly although the physicians had trouble with both methods.
In mathematical statistics, the likelihood ratio is the ratio of the probabilities, or probability densities, of given data, under two different probability models. In probability theory the likelihood ratio goes by the name of Radon-NIkodym derivative.
Likelihood ratios are related to sensitivity and specificity.
The positive likelihood ratio (LR+) measures the likelihood of a finding being present in patient with the disease. A large LR+, for example a value more than 10, helps rule in disease.
The negative likelihood ratio (LR-) measures the likelihood of a finding being absent in patient with the disease. A small LR-, for example a value less than 0.1, helps rule out disease.
Interpreting likelihood ratios by physicians is difficult and likelihood ratios do not improve upon sensitivity and specificity for helping physicians.
Describing likelihood ratios in non-technical language such as "A positive result is observed approximately 10 times more frequently in people with the disease than in people without the disease", may help. However, a graphic display of predictive values is even better.
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- McGee S (August 2002). "Simplifying likelihood ratios". J Gen Intern Med 17 (8): 646–9. DOI:10.1046/j.1525-1497.2002.10750.x. PMID 12213147. Research Blogging.
- Moreira J, Bisoffi Z, Narváez A, Van den Ende J (2008). "Bayesian clinical reasoning: does intuitive estimation of likelihood ratios on an ordinal scale outperform estimation of sensitivities and specificities?". J Eval Clin Pract 14 (5): 934-40. DOI:10.1111/j.1365-2753.2008.01003.x. PMID 19018928. Research Blogging.
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