Sentence examples for probability of bias from inspiring English sources

How long does a probability of bias last?

Mr. Olson said recusal should be required whenever an objective observer concluded that there was a probability of bias, although Mr. Olson used other similar formulations as well.

"Not every campaign contribution by a litigant or attorney creates a probability of bias that requires a judge's recusal, but this is an exceptional case," wrote Justice Anthony Kennedy in the majority opinion, which was joined by Justices John Paul Stevens, David Souter, Ruth Bader Ginsburg and Stephen Breyer.

In Caperton, Justice Kennedy said $3 million of independent spending to help elect a West Virginia Supreme Court justice could give rise to the appearance of a probability of bias.

Our main sources of information should therefore be those that apply the best research designs, namely randomized controlled trials or meta-analyses of such trials with consistent results and a low probability of bias.

The probability of bias, conscious, or unconscious, should ring alarm bells.

But it is not simply the physical presence of another person during survey administration that increases the probability of biased responding.

Thus, the influence of agreement between raters on the probability of biased risk estimates is related to the prevalence of the job groups in the study population.

Additional specimens of V. Miss Joaquim and the various V. teres varieties can also be sequenced to minimize the probability of biased results due to sampling effects.

In conclusion, the evidence level remained unclear: formally, multiple RCTs have shown positive effects on (different) clinical outcomes of diuretics, but the methodological quality of the meta-analyses (and the RCTs themselves) give a high probability of biased results.

All study participants were dental students thereby reducing the probability of biases related to misconceptions and errors in interpretation of concepts which exist in studies using self-administered questionnaires with lay populations [ 31, 32].