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In epidemiologic studies, unrecognized bias can contribute to observed results, causing them to be inaccurate.
Of note, this study also was analyzed with our new statistical method, which confirmed the absence of "unrecognized bias," the problem that confronted many earlier nonrandomized studies of hormone-replacement therapy.
One use of statistical evidence in antidiscrimination law in the US is to raise inferences of unrecognized bias, hence discrimination, in situations such as this.
Given the high chance of unrecognized bias related to missing data, their study is hypothesis-generating at best.
However, we cannot rule out the possibility that the differences in codon usage witnessed in the core and distributed genomes are the result of an unrecognized bias.
These studies illustrate, paradoxically, that if only one control group would have been included, unrecognized bias might have influenced the results.
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Could data with unrecognized biases, when fed into such systems, inadvertently turn them into discriminators?
The same methods can also reduce the largely unrecognized biases that plague population-level estimates of mortality rates.
Small groups and the inevitable evaluation over time between the three periods carry the potential of unrecognized biases.
In such a process, unrecognized biases might have influenced our study.
The paradox has been speculated to reflect deficiencies in the fossil record, unrecognized biases in the treatment of genetic data or both.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com