Sentence examples for principles bias from inspiring English sources

The good news is that by using proper modeling principles, bias can be greatly reduced or eliminated, and those working on AI can help expose accepted biases, create a more ethical understanding of tricky problems and stay on the right side of the law — whatever it ends up being.

While the presence of a lagged dependent variable and country fixed effects may in principle bias the estimation of the β s in short samples (Nickell1981), the length of the time dimension mitigates any such concerns since the finite sample bias is of the order of 1/T, where T is the length of the time dimension (Greene2000).

Although these cases could in principle bias our results, they are estimated to constitute only about 6% of our cases, 26 and their practical consequence is slight.

Although differences in baseline values between members of the treatment and control groups were small, these differences could, in principle, bias our estimates.

Similarly, as the ERVs in a genome are only derived from a relatively small number of ERV lineages, any replication affinity of particular lineages could, in principle, bias the result.

Selection for good hearing function in some occupations could in principle bias the results, but we think it unlikely that this type of selection had a major effect on our results.

The major drawback of that analysis was that it was based only on bioinformatic evidences and thus was in principle biased by our assumptions on TF and miRNA binding sequences.

The principle biases for the physician who saw him in the clinic were framing, search satisficing and premature diagnostic closure.

Nevertheless the referee is right that this experimental paradigm may be in principle biased by reduced basal transmission and this possibility is now mentioned: "Even though reduced basal transmission might in principle interfere with LTP analysis, these results suggest nevertheless that synaptic plasticity is affected by Aph1BC deletion".

The underlying principle is bias learning based on probable approximately correct learning (PAC learning) [79].

This is a principle methodological bias of interventions in healthcare research.