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The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). The false positive rate (or "false alarm rate") usually refers to the expectancy of the false positive ratio.
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
There is an association between rheumatoid factor and more persistently active synovitis, more joint damage, greater eventual disability and arthritis. [12] [13] Other than in rheumatoid arthritis, rheumatoid factor may also be elevated in other conditions, including: Systemic lupus erythematosus (SLE) [14] [15] Sjögren syndrome [14] [15]
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− Matthews correlation coefficient (MCC) = √ TPR·TNR·PPV·NPV − √ FNR·FPR·FOR·FDR: F 1 score = 2 · PPV · TPR ...
The log diagnostic odds ratio can also be used to study the trade-off between sensitivity and specificity [5] [6] by expressing the log diagnostic odds ratio in terms of the logit of the true positive rate (sensitivity) and false positive rate (1 − specificity), and by additionally constructing a measure, :
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.
Using the factor rate provided by the lender, you can quickly calculate the cost of the borrowed funds. For example, if you borrowed $100,000 with a factor rate of 1.5, multiply those two figures ...
An estimate of d′ can be also found from measurements of the hit rate and false-alarm rate. It is calculated as: d′ = Z(hit rate) − Z(false alarm rate), [15] where function Z(p), p ∈ [0, 1], is the inverse of the cumulative Gaussian distribution. d′ is a dimensionless statistic. A higher d′ indicates that the signal can be more ...