There are analogous likelihood ratios for prediction values, but these are less commonly used, and not depicted above.
22.
The likelihood ratio is the ratio of the chances of observing B under the two hypotheses A and \ neg A.
23.
This results in the likelihood ratio chi-square statistic being equal to 0, which is the best model fit.
24.
The first description of the use of likelihood ratios for decision rules was made at a symposium on information theory in 1954.
25.
I am aware of the article Likelihood ratios in diagnostic testing, this question specifically concerns the use of Bayes'theorem.
26.
Otherwise, positive and negative likelihood ratios are more accurate than NPV and PPV, because likelihood ratios do not depend on prevalence.
27.
Otherwise, positive and negative likelihood ratios are more accurate than NPV and PPV, because likelihood ratios do not depend on prevalence.
28.
Further, it can be used in a hypothesis test for whether evolutionary rates are constant ( by using likelihood ratio tests ).
29.
Or in words : the posterior odds on A equals the prior odds on A times the likelihood ratio for A given information B.
30.
Maximizing information at the cutscore is more appropriate for the SPRT because it maximizes the difference in the probabilities used in the likelihood ratio.
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