Sentence examples for erroneous bias from inspiring English sources

Exact(1)

The exposure-estimating process used by these authors could have introduced an erroneous bias in the data set, which causes me to question the "Discussion" and the conclusions drawn from the data.

Similar(59)

By intentionally recognizing and challenging such fallacies--which are based on erroneous biases and assumptions rather than reality--men can help tip the cultural balance toward leveraging the full range of gender intelligence within an organization.

It typically took roughly 15 iterations for the logarithmic algorithm to converge, regardless of initial guess, which highlights the ability of this method to quickly compensate for possible erroneous biases away from correct values.

Breakdown values estimate the smallest proportion of data that, if erroneous, could bias the estimator.

The characteristics of individuals who chose not to participate in the client survey may have differed from those who responded, and while unlikely, these differences could have increased or decreased the probability that survey fields contained erroneous information, biasing file audit results.

These were defined as the amplitude of initial erroneous movements (early bias) and the difference between the lateral hand and ball position as the virtual ball passed the hand in depth (final error).

In addition, self-evaluation tools may be affected by cognitive biases, including recall bias, erroneous self-perception, as well as the desire to please, displease or provoke, particularly in adolescents.

Bias can lead to erroneous conclusions if the bias happens to track with the experimental condition evaluated or obscures the differences because the bias is larger than the biological effect.

Misaligned read fragments can introduce erroneous base calls or sampling biases so the careful alignment of sequence reads is necessary for high-quality haplotype assemblies.

We make erroneous conclusions, show biased judgment and ignore important information".

Dr. Stewart pointed out that much of the information on Web sites is "biased, erroneous or downright misleading".

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