Sentence examples for removing between from inspiring English sources

The Story of Stuff Project, along with co-plaintiffs the Center for Biological Diversity and the Courage Campaign Institute, claim that Nestlé is breaking federal law, operating on a permit expired nearly 20 years ago, in 1988, removing between 50m-150m gallofs of water each year from a creek in the southern Californian forest to use in its Arrowhead bottled water brand.

In addition, flatworms displayed kleptoparasitism, removing between 0.1±0.3 and 0.6±1.1 nauplii 30 min−1 from the oral disc of their host, or 5.3±3.3 to 50.0±2.1% of prey acquired by the coral.

Increasing the SDR-defining case count to ≥5 (SDreduceduced the number of SDRs for further validation and verification by between 14 % in the abiraterone (men only) analysis and 36%% for vildagliptin, also removing between 33 70 % of unclassified SDRs, potentially delaying detection and validation of important signals (Supplementary Table  2).

As an alternative, we first panel-demeaned all predictors, which has the effect of removing between-subjects' variability.

We provide example code in the database documentation for removing between-platform batch effects with the ComBat method (43).

Secondary Ledalab analysis: To explore the impact of removing between-subject variance, two supplemental Ledalab analyses were performed.

Supplementary Ledalab analysis revealed that removing between-subjects variance improves performance of Ledalab, but SCRalyze is still significantly more sensitive.

Baseline values will be incorporated in these analyses to adjust for any imbalance at baseline despite randomization and to increase precision by removing between-person variability.

Effects of adding variables for each metropolitan area to the model (Model 4), effectively removing between-area effects and allowing assessment of only within-area effects, were also examined.

First, SCRalyze removes between-subject variance as a standard procedure, while Ledalab does not.

Fifteen covariates modeling the mean across conditions for each participant were also added to each model, to remove between-subject variance of no interest.