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Likelihood Ratio: An example "test" is that the physical exam finding of bulging flanks has a positive likelihood ratio of 2.0 for ascites. Estimated change in probability: Based on table above, a likelihood ratio of 2.0 corresponds to an approximately +15% increase in probability.
Diagram relating pre- and post-test probabilities, with the green curve (upper left half) representing a positive test, and the red curve (lower right half) representing a negative test, for the case of 90% sensitivity and 90% specificity, corresponding to a likelihood ratio positive of 9, and a likelihood ratio negative of 0.111.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
Thus the likelihood-ratio test tests whether this ratio is significantly different from one, or equivalently whether its natural logarithm is significantly different from zero. The likelihood-ratio test, also known as Wilks test , [ 2 ] is the oldest of the three classical approaches to hypothesis testing, together with the Lagrange multiplier ...
True positive rate (TPR), Recall, Sensitivity (SEN), probability of detection, Power = Σ True positive / Σ Condition positive False positive rate (FPR), Fall-out, probability of false alarm = Σ False positive / Σ Condition negative Positive likelihood ratio (LR+) = TPR / FPR Diagnostic odds ratio (DOR) = LR+ / LR ...
Exactly 10 years ago today, I published a commentary defending the decision to publish the contents of the Sony hack in Variety, the publication where I then served as co-editor-in-chief.. Listen ...
Valerie Bertinelli is looking on the bright side of divorce — and her fans couldn't be more grateful for her candor. The actor and TV personality, 64, appeared to celebrate the two-year ...
Prior research has linked obesity, high blood pressure and elevated cholesterol to strokes, which is consistent with this new study’s findings. “Our study highlights that some risk factors are ...
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