Sentence examples for incremental accuracy from inspiring English sources

"By attempting to increase that precision, from 9.99999 to 10, they are introducing such profound chaos and such intentional and predictable undercount that the amount of error they will introduce into the process swamps, by exponential levels, any incremental accuracy that they are purporting to bring," he said in an interview.

12 Incremental accuracy from combining tests, relative to a single test, can be more informative, for example.

Objective and applicability (Was the study designed to explore the value of the new screening test as a replacement test or to assess its incremental accuracy to existing screening test?

Nonetheless, there are well known and widely-used statistical tests for comparing diagnostic accuracy[ 7, 8], and so increasingly investigators have elected to use these as formal tests for incremental accuracy in the context of comparing predictive models[ 9- 14].

To allow estimation of both replacement and incremental accuracy, the basic study design is to screen women independently by both mammography and the new test, and assess how many cancers and false positives are detected by one test and not the other.

The fact that expert commentaries on this issue advocate this comparison without reference to statistical testing suggest that they have intended the comparison to represent an informal judgment of the increase in incremental accuracy[ 2- 6], that is, the recommendation is to use a comparison of AUC's for estimation.

What do we mean by incremental predictive accuracy?

In our opinion, investigators should select a single test for assessing incremental predictive accuracy.

The first set of rows represent test size, i.e. the setting in which X* contributes no incremental predictive accuracy (represented by μ*=0).

This analysed whether they added incremental predictive accuracy to a baseline model of young age (<32 years) and comorbid substance use disorder.

To our knowledge, little work has been done to estimate the power of regression models for detecting incremental predictive accuracy in comparison to the power of corresponding tests for the AUCs.