Sentence examples similar to under specificity from inspiring English sources

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Of course, given what has been discussed, this looks to be more like a case of under-specificity, or simply ignorance of a word's meaning (in 1787), not ambiguity.

Model 2 over-estimates sensitivity and under-estimates specificity: bias of sensitivity estimate is 4.6% and bias of specificity estimates is 11.9%.

In particular, the area under the sensitivity curve and area under the specificity curve are investigated.

In the case of the pooled embryonic gonads, under all specificity thresholds where the differences were statistically significant, genes classified as embryonic gonad specific are evolving less rapidly than whole embryonic tissue.

It should be noted however, that the number of genes in our dataset showing significant evidence of positive selection was quite small (359 out of 7,180 genes classified under no specificity threshold) and may represent too limited a dataset from which to draw statistically meaningful conclusions.

Under most specificity thresholds, the dN of larval/pupal genes was also significantly greater than those of embryo genes; however, the dS of larval/pupal genes was significantly lower than that of embryonic genes, such that the relationship among stages in terms of the dS was larval/pupal < embryonic < adult (Additional file 6).

Under those specificity thresholds where a significant difference in evolutionary rate was found between adult ovaries and other tissues, the mean rate of evolution of genes expressed in the ovaries was significantly lower than the other tissues (P < 0.05; Figure 2; Additional files 10 and 11).

Again, under this scenario, the intent-to-diagnose approach largely under-estimates sensitivity, specificity, PPV, NPV and LR+ and over-estimates LR −, with CPs less than 40% and some as low as 0. On the other hand, when ω m 1=0.2 and ω m 0=0.1, the extended TGLMM and Model 1 again give nearly unbiased estimates (bias around 0.1%) of sensitivity and specificity.

The intent-to-diagnose approach largely under-estimates sensitivity, specificity, PPV, NPV and LR+ and over-estimates LR − and some CPs are as low as 0. When the missing probabilities for diseased and non-diseased subjects are more unbalanced, we expect the estimates from Model 1-3 and the intent-to-diagnose approach to have larger bias and smaller CP.

The "alternative" SRE definition included codes identified under the 'high specificity' list of PF and codes under the 'high sensitivity' lists of RAD and SCC (in addition to all BS codes).

In summary, the "base case" SRE definition included codes identified under the 'high specificity' lists of RAD and SCC and codes under the 'high sensitivity' list of PF (in addition to all BS codes).

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