Template:DiagnosticTesting Diagram: Difference between revisions
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m Define Selectivity (e.g. from https://web.engr.oregonstate.edu/~tgd/classes/534/slides/part13.pdf). Needed because disambiguation page for selectivity points here. |
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|style="background:#ffeecc;"|[[False negative rate]] (FNR), Miss rate <span style="font-size:118%;white-space:nowrap;">= {{sfrac|Σ False negative|Σ Condition positive}}</span> |
|style="background:#ffeecc;"|[[False negative rate]] (FNR), Miss rate <span style="font-size:118%;white-space:nowrap;">= {{sfrac|Σ False negative|Σ Condition positive}}</span> |
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|style="background:#ddeebb;"|[[ |
|style="background:#ddeebb;"|[[Specificity (tests)|Specificity]] (SPC), Selectivity, [[True negative rate]] (TNR) <span style="font-size:118%;white-space:nowrap;">= {{sfrac|Σ True negative|Σ Condition negative}}</span> |
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|style="background:#cccccc;"|[[Negative likelihood ratio]] {{nowrap|(LR−)}} <span style="font-size:118%;white-space:nowrap;">= {{sfrac|FNR|TNR}}</span> |
|style="background:#cccccc;"|[[Negative likelihood ratio]] {{nowrap|(LR−)}} <span style="font-size:118%;white-space:nowrap;">= {{sfrac|FNR|TNR}}</span> |
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Revision as of 19:05, 10 August 2018
| True condition | ||||||
| Total population | Condition positive | Condition negative | Prevalence = Σ Condition positive/Σ Total population | Accuracy (ACC) = Σ True positive + Σ True negative/Σ Total population | ||
| Predicted condition |
Predicted condition positive |
True positive, Power |
False positive, Type I error |
Positive predictive value (PPV), Precision = Σ True positive/Σ Predicted condition positive | False discovery rate (FDR) = Σ False positive/Σ Predicted condition positive | |
| Predicted condition negative |
False negative, Type II error |
True negative | False omission rate (FOR) = Σ False negative/Σ Predicted condition negative | Negative predictive value (NPV) = Σ True negative/Σ Predicted condition negative | ||
| True positive rate (TPR), Recall, Sensitivity, probability of detection = 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− | F1 score = 2/1/Recall + 1/Precision | ||
| False negative rate (FNR), Miss rate = Σ False negative/Σ Condition positive | Specificity (SPC), Selectivity, True negative rate (TNR) = Σ True negative/Σ Condition negative | Negative likelihood ratio (LR−) = FNR/TNR | ||||