Sentence examples for modest discrimination from inspiring English sources

We demonstrate that when the "risk genotypes" derived from the univariate analysis are incorporated into an algorithm with clinical variables, independently associated with lung cancer in multivariate analysis, modest discrimination is possible on receiver operator curve analysis (AUC = 0.70).

A c-statistic between 0.7 and 0.8 indicates modest discrimination but not necessarily clinical utility.

The multivariable statistical model had modest discrimination (c statistic = 0.613) and adequate fit (Hosmer-Lemeshow χ = 8.3, P = 0.405).

The full model exhibited only modest discrimination with a c statistic of 0.68 and an R of 0.04.

Although its relatively modest discrimination ratio, ∼3 : 1, may limit its capability of detecting low abundant SNP targets in wild-type gene background.

Thus, the large variance associated with using many features (including those with modest discrimination power) defeats any possible classification benefit derived from these features.

Our preferred model including interactions between gender and immigrant status (column 5 in Table 3) corroborates modest wage discrimination against men of non-EU origin, but also shows that the wage discrimination against both native and foreign women is significantly higher.

The receiver operating characteristic (ROC) score was 0.65, indicating modest model discrimination.

The proposal was modest enough: authenticated discrimination (say, black men being told a club was full while white patrons got in) would warrant mediation and, if the problem persisted, a fine.

While the performance of phosphotyrosine signatures was modest for the discrimination of AD and SCC, with the top performing classifier having an AUC of 0.78, mRNA transcript levels classify these subtypes with higher accuracy, and neither method distinguishes early from advanced stages of lung cancers.

These models showed modest improvements in discrimination (Table 3), yet they resulted in progressively greater delays in identifying patients at risk of late transfusion or late anemia.