Sentence examples for support biased from inspiring English sources

All in all, the present data do not support biased agonism for these compounds.

Dismissing the marginal sketchiness within the rhetoric of "influencers" leads us as citizens to sometimes elect unethical people, support biased news networks and buy unsafe products.

Mr. Schauer stressed that he did not support bias of any kind and did not believe that empirical evidence alone should be the driving force behind creating categories.

However, these results taken together with our live imaging analyses and the electrophysiological studies in zebrafish and other species do not support the biased selection model [21] [22], [38] [39].

Instead, it tries to prevent the industry support from biasing a society's professional activities and judgments.

Moreover, while both support metrics were biased (larger clusters received better support values), the statistical association between p-value and cluster size was much stronger (R2 = 0.4258, p<0.0001 vs. R2 = 0.1417, p = 0.0153).

Funnel-plot calculation showed no asymmetry (P = 0.733), revealing no evidence supporting bias of selected studies (Fig. 5), and therefore, the null-hypothesis assuming no publication bias was not rejected.

Work by Grell (1958) and Lyttle (1981) both showed that different Y chromosomes differed in their pairing and disjunction in meiosis of XYY males; however, in both cases the data supported biases in progeny classes to be a result of postmeiotic embryonic inviability and not because of preference during pairing or segregation during meiosis.

Since there is a strong and possibly biased support for so-called mature RETs and already existing solutions, a clarification of how fundamental physical laws affect the cost of investments and payback of investments is needed.

Supporting data are biased from the visual system of nonhuman primates (NHPs), but I have drawn as much as possible from a broader span in order to treat the important issue of area-specific variability.

12 15 22 Although similarities between the sample and the targeted population support minimal bias, such a bias cannot be excluded.