Sentence examples for explain this test from inspiring English sources

However, due to the time constraints, it will probably not possible for a GP to fully explain this test to their patients during a consult.

To explain this contradiction, we tested for collinearity, mediation and moderation, and for interaction and suppressor effects.

To help explain this paradox, we tested whether systemic RAS activation and associated oxidative stress were present in patients with DD in early HFpEF.

To explain this association, we tested the 'biodiversity hypothesis', which posits that reduced contact of children with environmental biodiversity, including environmental microbiota in natural habitats, has adverse consequences on the assembly of human commensal microbiota and its contribution to immune tolerance.

Kinship did not explain this relationship (partial Mantel test relating group co-residency to taxonomic composition, controlling for pedigree-based kinship: r = 0.434, p < 1.0 × 10−5).

Though a significant test for the presence of statistical heterogeneity (e.g., Q test) and a large degree of heterogeneity (e.g., I > 75%) might obligate a reviewer to look for covariates to explain this variability, a nonsignificant test or a small I (e.g., <25%) does not preclude the need to investigate covariate treatment effect interactions [ 35, 92, 97, 100].

Though a significant test for the presence of statistical heterogeneity (e.g., Cochran's Q test) and a large degree of heterogeneity (e.g., I > 75%) might obligate a reviewer to look for covariates to explain this variability, a nonsignificant test or a small I (e.g., <25%) does not preclude the need to investigate covariate treatment effect interactions [ 24, 27, 31, 36].

To explain this finding we developed and tested a theory of role quality based on the concept of agency by drawing on Giddens' theory of structuration and Doyal and Gough's theory of human needs.

We discuss extensions to the basic CTL killing model to explain this discrepancy and propose experimental tests to distinguish between them.

We can now explain this: at low concentrations, the tests are probably performed near the critical bacterial curve, and near this curve very small experimental inaccuracies can push one well to be above the critical curve and the other to be below it leading to substantial deviation in the results that are thus interpreted as unreliable data.

A first clue for how to explain this discrepancy emerged when we tested two PICH mutants for their ability to restore normal mitotic timing in PICH-1 siRNA-treated cells.