Sentence examples for easily biased from inspiring English sources

The value increased only slowly because scientists were easily biased toward rejecting results that deviated too far from expectations, based on Millikan's number.

This is especially concerning when modeling a continuous covariate at the group level, as the slope is easily biased by outliers.

The optical attenuation measured by the Sunset carbon analyzer was more easily biased by the shadowing effect, whereas total carbon agreed well between the Sunset and DRI analyzers.

The chemical index of alteration (CIA) is the most suitable WI, whereas Ca-free CPA is more easily biased by salinity variations of topsoils at sites with negative water balance, thus pretending lower weathering intensities.

But such reports had proved too plastic and easily biased by different laboratories' training to settle contested questions, such as whether pleasure and pain are specific sensations, elements of mind of a kind distinct from sensations, or 'hedonic tones' incapable of independent existence but qualifying other introspected elements of mind (Beebe-Center 1932; Alston 1967, pp. 333-34).

This kind of multilayer PNR FETs, much solider than the monolayer PNR one and more easily biased by different electric fields, has more transport channels consequently leading to the higher on off current ratio or the higher sensitivity to the electric fields.

This could easily bias the results in favour of the stabilisation group.

Further, the transcriptome reads would have to be mapped on to huge number of sequences and multi-mapping of reads could easily bias the transcript structure and expression estimation as the mapping software would treat them as genomic repeats.

50 Thirdly, arbitrary or "data dredging" categorisation of continuous factors and continuous outcomes can easily bias findings toward a significant result, particularly if analyses are repeated for multiple cut-offs until a categorisation is found that provides the most significant P value.

A landmark analysis would easily be biased by neutropenia occurring 'after the landmark', and thus be unsuitable for our study.

Aggregating the data to such high level has the consequence that conclusions might be easily be biased by ecological fallacy.