Sentence examples for much more biased from inspiring English sources

Remove the BBC from the centre of journalism, allow some of those safeguards which have been in broadcasting to go to one side, and what will happen is that we will get much more biased reporting.

We measure, for each BPM, how much more biased the observed PI edges (between all pairs of gene/protein nodes in the BPM) are to remain within a single partition than would be expected by chance (see the Methods section for computational details).

However, for the case of a large or moderate treatment effect, the ITT approach was much more biased than the other approaches.

However, increasing the exposure probability puts more weight on the risk of disease among the exposed, which will give you a much more biased estimate of the risk of disease among the unexposed.

We assume p A =0.4, p C =0.1 and p G =0.1 and p T =0.4, a distribution much more biased than all distributions encountered in known biological organisms.

Thus, initial studies tend to be much more biased than subsequent ones.

Actual male-to-female sex ratios in the field are much more female biased in O. davisae (∼ 1∶10; [39]), and in many other species [36] suggesting that other sources of mortality are also higher in males than in females.

In addition, it is for this reason we insisted on at least 15 days of actigraphy data on each Yogi and not simple sleep journals that are much more easily biased.

Yet we suggest that culture techniques have a much more dramatic bias and greatly overestimate the importance of organisms that are easily cultured and can underestimate the importance of fastidious organisms, which require more specialized culture methods [26].

However, these methods tend to rely on individual-level variables such as mobility, marital status, work status, alcohol use, number of partners, age at first sex, concurrency and religiosity [6], which are subject to much more reporting bias than mortality data that we use in our method.

Small sample sizes are also much more likely to be biased, which could lead to incorrect inferences about management of snowshoe hare populations.