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Overall, the model predicts an 11 point turnout difference between the least restrictive and most restrictive states in 2016.
Estimates of the within generation realized response to selection across farming environments were obtained as the difference between the least squares mean performance of offspring of selected parents and of offspring of parents with average values of the selection index.
We found that, across participants, gain maximization was predicted by differences in amplitude of the P3b for suboptimal versus optimal gains (i.e., P3b amplitude difference between the least good and the best gains).
Thus the difference between the least and more severe states was 0.144.
The difference between treatments was estimated by the difference between the least squares means.
The difference between the least and most costly prescribing practice by occupational health care physicians was almost ten-fold.
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We evaluated the relative importance of each source of uncertainty in determining the difference between the least-cost paths (LCPs) costs and resistance distances generated for the true and erroneous cost-surfaces, using four model evaluation metrics.
The difference between the least-squares means computed by ANCOVA model was 0.8 (95% CI -0.1 to 1.7) and not statistically significant (p = 0.078).
In comparing differences between the least square means of CH4 emissions, the extensive and semi-intensive SKSs produced 92% and 66% higher CH4 emissions compared to intensive SKS.
The differences between the least and most parsimonious practices were 1.3 sessions per treatment for physicians and 2.7 for physiotherapists.
There exist large differences between the least square and MCMC algorithms when the variance of noise is small.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com