Sentence examples for disproportionately biased from inspiring English sources

As sample density declined, the probability of a survey availability event, defined as a survey yielding indices >125% or <75% of the true population abundance, increased and that increase was disproportionately biased towards underestimates.

The new party interaction term is also statistically significant, and reduces this effect considerably providing further evidence that Wikipedia page view statistics are disproportionately biased towards new parties.

However, participants were unaware that they would be tested on the secondary information presented on the GG, which may have disproportionately biased them toward discounting that information.

A number of stakeholders expressed concerns that most interventions and programmes are disproportionately biased towards women.

The uncensored estimate is higher, at $33,940, and disproportionately biased patients with short survival times, who in this dataset have higher costs.

Across the studies, it was possible to discern research samples disproportionately biased towards well-educated people, younger people, females, the employed and those in relationships when compared with controls (where any existed) or the population of people with a diagnosis of schizophrenia in general.

However, a population analysis of this type is biased disproportionately by neurons with high firing rates.

Disproportionately pro-industry conclusions, biased study design, and suppression of negative results are overt ways in which industry-funded research has developed a poor reputation.

This may have disproportionately represented Eastern Canada and biased screening trends in the pre-intervention period downward.

When analyzing egg viability, we excluded data points for which egg numbers were < 4/tank (< 2%) because viability on low egg numbers biased the analysis disproportionately.

In 2016, the investigative journalism nonprofit ProPublica gathered data to replicate the algorithm used in the Loomis case and their analysis found it biased against blacks, who were disproportionately given higher risk scores compared to whites.