Sentence examples similar to create bias for from inspiring English sources

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This could impact some of the indicators and especially create biases for some commodities.

If individuals with different application durations differ systematically in terms of both observable and unobservable characteristics, right-censoring may potentially create biases for our analysis.

The GPs tended to share opinions with laypeople regarding substance abuse rather than acknowledging that their personal attitudes can create biases for or against particular patients.

Whereas phylogenetic analysis interprets the presence of the same mutation in several individuals as evidence of common ancestry, selection pressure creates bias for "convergent evolution" [31] in which the same mutation can evolve independently many times due to positive selection.

These techniques may have subtle effects on the power to detect regulated genes at different intensities, perhaps creating bias for or against detection of low-expressed genes.

Missing data also may create bias or the need for multiple imputation techniques (Moons et al, 2009b).

This process, which appears to consider almost any scientist knowledgeable about a chemical to create bias, makes it vastly more difficult for the panel to integrate scientific data from the relevant literature, especially since, as with BPA, there are almost 1,000 relevant studies and the review panel is provided with very little time to become knowledgeable about the details.

It's important to compare our biases, because the way we create biases in our minds is the same process for both mild biases and severe ones.

These groups are paid to create biased research for their clients on various topics that are designed to help their clients--not the public.

However, applying this model may create biased genetic parameters for uniformity [ 30] and thus requires that repeated records from the same individuals are used to minimise the bias of genetic parameters [ 12].

As the true outcome for subjects dropping out is unknown, any imputation may create biased results.

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