We perused percent sensitivity, specificity, accuracy, predictive values and likelihood ratios
probability ratio or likelihood ratio
greater than 1.
Subjects' correct intended selections and incorrect unintended selections were used to calculate sensitivity, specificity, and likelihood ratio
in Table 3.
None of the previous studies adequately addressed the issue of sensitivity, specificity, predictive values, or likelihood ratios
when considering the subtyping of primary lung adenocarcinoma, particularly primary lung small cell carcinoma.
We also present the likelihood ratio
tests on the hypothesis that the difference across the two states in the coefficients of the value decile exceeds the difference in the coefficients of the growth decile.
You cannot ignore a positive likelihood ratio
of 15, but what do we do?
8268 Table 3 Chi-squared values for the overall likelihood ratio
test between growth estimates from different methods (category adjusted [Adj cat], formula adjusted [Adj-frm], back- calculation to all annuli [BC-all], back-calculation to the last annulus only [BC-1Last], and observed [Obsv]) for estimating length-at-age for Scomberomorus commerson and S.
1(a), we conclude that Y is not larger than X in likelihood ratio
ordering if, and only if, [lambda] [member of] ([[lambda].
The authors describe the models and their properties, focusing on unstructured and structured antedependence individually, and then present inference procedures for the models in chapters that cover informal model identification via simple summary statistics and graphical methods, maximum likelihood and residual maximum likelihood estimation of parameters, likelihood ratio
tests and penalized likelihood model selection criteria for the model's covariance structure, and mean structure.
Using clinical investigation as the gold standard, the sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and the Positive and Negative Likelihood Ratio
(LR+ & LR-) were computed (Table 2).
Limitations of sensitivity, specificity, likelihood ratio
, and Bayes' theorem in assessing diagnostic probabilities: A clinical example.
The findings of Barth et al (2006) indicated the lift-off test to be an accurate test for diagnosing subscapularis pathology, using weakness as a criterion, with a sensitivity of 100%, resulting in a positive likelihood ratio