The phrase "associated with a test" is correct and usable in written English.
It can be used when discussing relationships or connections between something and a test, such as in educational or scientific contexts.
Example: "The results of the study were associated with a test that measured cognitive abilities."
Alternatives: "linked to a test" or "related to a test."
For the implementation of GA, The fitness function and the structure of chromosome were identified on the basis of the analysis of constraint conditions associated with a test.
The new score more accurately ranks targets associated with a test molecule than MeanSim.
We (loosely) refer to the analysis as distribution free because it does not include distributional assumptions associated with a test statistic.
To determine whether a SNP is significant, one must check whether a P-value that is associated with a test statistic is below a pre-described significance level.
The guidance of the Committee for Proprietary Medicinal Products states that if the 95% CI for treatment effect lies above zero then there is evidence of statistical significance at the 5% level and it is acceptable to calculate the p value associated with a test of superiority [ 14].
$$\end{document} Here, Σ I c represents the number of test line intersections with a membrane compartment (e.g. RER membrane) summed over all fields, Σ P c is the organelle point total (e.g. RER cisternal lumen) and l p is the lattice constant (i.e. the test line length associated with a test point given on the specimen scale by taking into account the linear magnification).
Next, we determined the number of index tests associated with a duplicate test at that institution within a specified time after the index test (7 days, 30 days, or 60 days).
The frequency of duplicate testing was expressed as the proportion of index tests associated with a duplicate test.
The q-value measures the predicted false discovery rate associated with a significant test when multiple hypotheses are tested, i.e. a q-value of 0.05 implies that for every 100 significant correlates, five false correlates are expected.
If non-inferiority was shown, the p value associated with a superiority test was calculated with the Mann–Whitney U test or independent t-test.
Thus, a number of different algorithms, each with its own sensitivity and specificity and yielding its own set of samples ruled recent can be applied to a test population, consequently reducing the sampling error associated with a single test.
