Sentence examples for treatment distribution from inspiring English sources
Treatment distribution resulted in 309 cows in the ceftiofur group and 287 cows in the hetacillin group.
The statistical properties of this new design is evaluated with the Euclidean distance between the observed treatment distribution and the desired treatment distribution as the treatment imbalance measure; and the Euclidean distance between the conditional allocation probability and the target allocation probability as the allocation predictability measure.
CH2M HILL, a engineering services firm based in Denver, USA, has completed the acquisition of Ohio-based BBS Corporation, which specialises in planning, design, and construction administration of water and wastewater treatment, distribution, and collection systems.
In the US, global engineering services firm CH2M Hill has completed the acquisition of BBS Corporation, which plans, designs and constructs water and wastewater treatment, distribution and collection systems.
To meet this challenge, a novel experimental design with a scale-dependent treatment distribution was adopted earlier in a field study to assess the impact of land use and rainfall characteristics on Br− leaching with the aid of spectral analysis.
In the absence of local patient treatment distribution data, the ICERs were weighted according to the distribution of patients for each treatment arm in the AZA-001 trial.
χ tests were used to compare the treatment distributions of patients with and without GI events.
For the two quantitative variables, PSA at diagnosis and PSA after treatment, distributions of observed and imputed data were similar.
No significant differences in any of the treatment distributions were seen between patients carrying the different AR diplotypes.
For plants occurring in wildlands or otherwise outside of cultivation, the Jepson eFlora contains taxonomic treatments, distribution maps, illustrations, photographs, and identification keys.
OLS models that are also based on the assumption of selection on observables are fundamentally not robust to the substantial differences in the pre-treatment distribution of covariates between treatment and control groups with observational data when the linearity assumption of the outcome equation fails.
