Sentence examples for be attributed to biased from inspiring English sources

Exact(2)

To assess whether these biases resulted from biased PCR amplification during the sequencing reaction, we repeated these analyses using only unique sequence tags, but the obtained results were practically indistinguishable, demonstrating that the effect cannot be attributed to biased PCR amplification (Supporting Information S1).

The larger number of crania than femora available in museum collections, which allows for more reliable statistics, can be attributed to biased archaeological practices during the late 19th and early 20th centuries, when crania were frequently the only skeletal element collected from burials.

Similar(58)

The Community Service Society, an antipoverty group, said during last year's debate that it had detected a pattern of denying licenses to former inmates based on "spurious concerns over 'character' that can only be attributed to bias related to their criminal record".

The lower pay issue can also be attributed to bias.

The absence of hominin remains can be attributed to biases towards the preservation of larger animals, the effects of fragmentation and the absence or rarity of stone suitable for making stone tools.

Also, all measures were made independently of Wolbachia infection status, so any differences found with regard to infection status can not be attributed to bias in the order of measurement.

It appeared that only 2percentt of variance in the mean ratings could be attributed to biasing factors.

We found biologically plausible major reductions in breast cancer mortality during high exposure to inorganic arsenic in drinking water which could not be attributed to bias or confounding.

Again, the large impact on the accuracies of genome predictions presented in Table  6 can be attributed to bias in selecting SNPs.

In particular, the association between income and sources of health payments with patient evaluations of quality cannot be attributed to bias or confounding.

The observed bias can be attributed to bias in the initial 10-year risk predictions obtained using the prediction model derived from case-cohort rather than full cohort data.

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