Sentence examples for biases due to potential from inspiring English sources

A blocked experimental design was implemented to avoid biases due to potential plate effects (i.e. all plates contained the same proportion of normal and tumor samples).

For some high intensity signals, the intensity of the A + 1 peak was evaluated in addition to the monoisotopic ion to avoid detection biases due to potential saturation of the detector in the mass spectrometer.

Given the differing methodologies and therefore differing biases due to potential inclusion of false positive cases or selection of more severe cases, other reported associations are very difficult to interpret.

We performed two measurements for each particle type and concentration and determined the particles' innate OxPot, expressed as consumed ascorbate (nanomoles) per particle mass (micrograms) from the slope (not the ratio) of the measured ascorbate consumption and particle mass in order to avoid biases due to potential zero off-sets.

Wood charcoal analysis provides site-related information on species occurrence and woodland composition, especially when sediments containing pollen are lacking, but is normally discontinuously available and has the danger of human bias due to potential selection of certain species for e.g. fire making, house construction or charcoal making.

This is a methylation-independent reaction and minimises amplification bias due to potential sample aneuploidy (Weisenberger et al, 2005).

The bias due to potential genotyping errors depends on the allowance of heterozygous genotypes in a ROH calling software.

We controlled our regression analyses for cofounding bias due to potential confounders i.e. age, systolic blood pressure, using antihypertensive drugs, total and HDL cholesterol, diabetes and smoking [ 13].

In addition, as a result of the exclusion of the first 2.3 years of follow-up, the chance of information bias due to potential preclinical colorectal cancer is minimal.

This technique is simply an extension of the nearest neighbor matching that is developed to avoid the small sample bias, and the potential bias due to possible large differences in the propensity scores.

Allowing for both channels of adjustment addresses potential biases due to using only one.