Sentence examples for role of bias from inspiring English sources

These data provide a unique opportunity to advance our understanding of the 2008 election, in particular, and the role of bias, in general.

The role of bias on the part of the expert, identification of different types of bias, strategies to control bias and the confidence of the expert in his/her response are also presented and discussed.

To explore the role of bias in peer review, Day created a simplified mathematical model of the review process.

Throughout the book, she explains problems with perception, such as the role of bias and loss aversion in reacting to a crisis.

However, by reporting both measures it is possible to develop a view of change deafness that takes into account the role of bias and uncertainty, as well as estimate overall sensitivity.

When the Level Playing Field Institute conducted a landmark study of 19,000 professionals and managers in 2007 to determine the role of bias in voluntary employee turnover, we found that people of color were three times more likely to leave due solely to unfairness.

To separate the role of biases in the simulated signal and the simulated noise in delaying the TOE, we assume that extreme temperature indices can be decomposed into externally forced response ('signal') and internal climate variability ('noise'noise

Every day I seem to become more aware of biases – both conscious and unconscious – that actively prevent us from moving our field forward in the most influential and progressive manner, and I am really passionate about seeking mechanisms to actively reduce the role of biases in my own decisions and in the decisions of colleagues and collaborators.

On a closing note, it is important to understand the role of biases.

Thus, there is no support for a major role of biased gene conversion responsible for the excess of CpG dinucleotides of high-CpG genes.

We expect these observations to significantly advance our understanding of the role of biases in influencing ChIP-seq signals, thereby paving ways for better techniques for bias identification and removal.