Sentence examples for precision of a test from inspiring English sources

25– 27 The precision of a test procedure expresses the agreement between a series of multiple results generated with the same homogeneous sample.

Thirdly, the number of diseased and non-diseased patients are usually unequally divided, which reduces the precision of a test accuracy estimate while in RCTs equal numbers of participants are allocated to an intervention or control group.

Whereas in CTT a single number (e.g., the internal-consistency reliability coefficient, or the SEM based on that reliability) would be used to quantify the measurement-precision of a test, a continuous function is required in IRT to convey comparable data [ 26].

Methods: This study applies statistical principles in designing a cost-effective experimental approach for determining the analytical precision of a new test.

Conclusions: Although elimination of all sources of variation that can affect laboratory test results is unlikely, the application of analysis of variance (ANOVA) statistical techniques can lead to a cost-effective allocation of resources for estimating the precision of a laboratory test.

This estimator provides directly comparable results among the models because any binary classification system can be used to calculate ROC curves and to determine the precision of a diagnostic test.

Analytical validity refers to the accuracy and precision of a genetic test performed in a clinical laboratory.

The precision of a laboratory test describes a coefficient of variation that is defined by the ratio of the standard deviation (SD) to the mean.

The precision of all test images is averaged to yield a single precision value.

The sample size was determined based on a double population proportion principle on the assumptions of a proportion of LACM use in Mekelle town (12.3 %) [ 10], a confidence level of 95%%, and a 5%% degree of precision, 80%% power of a test, ratio of exposed to unexposed 1 1 and assuming an odds ratio of 2. We added a 10%% of the calculated sample size to compensate the expected non-response.

To maximize the evaluative precision of the test, an Item Response Theory (IRT) approach was also used to combine and scale students' responses in the test (i.e., to estimate the reading attainment scores of students based on their responses to their respective subtests of questions from the overall test).