Sentence examples for bias in the current from inspiring English sources

Exact(31)

The Parliamentary Affairs essay echoes the conclusions of another article on electoral bias in the current issue of Political Quarterly.

Under PR, most parliaments would probably be hung, and Lib Dems could dream of playing a pivotal role in endless coalitions.For their part, the Tories have traditionally disliked the idea of PR and indeed coalition government, but have also resented the pro-Labour bias in the current system of voting at general elections.

Handling below detection limit data with the proposed method gives us the least bias in the current setting.

We intend to show empirically the bias in the current measure of wage effect and the biases varying across sectors characterized by different production technologies.

This potential bias in the current status quo of morbidity measurement and prediction leads to pessimistic morbidity scenarios when mortality improvements are projected, and it undermines health expectancy comparisons between groups with different mortality (Riffe et al. 2016).

This finding reveals a potential selection bias in the current study because the eight patients are selected for having fewer than five missing values, which implies a high uniformity of response.

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Similar(29)

This requires the Government to remove biases in the current Energy Bill which support higher coal use.

The emphasis on 18-30-year-olds 18-30-year-olds 18-30-year-olds 18-30-year-olds biands in the current university system.

Recently, systematic reviews and meta-analyses evaluated the likelihood of biases in the current scientific literature about peripheral biomarkers of major psychiatric disorders (i.e. depressive, bipolar and psychotic disorders).

All of these factors contribute to taxonomic, regional, and habitat biases in the current state of knowledge of Caribbean biodiversity.

Results from the between-subjects ANOVA relative to the target effect revealed no significant main effect or interaction with the between-subjects factor, reasserting that the reward related manipulations applied during training do not emerge in the form of target-selection biases in the current task (but see [28], Exp. 2).

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