Sentence examples for assumptions of effects from inspiring English sources

Projected outputs depend on assumptions of effects of prolonged ivermectin treatment on adult worms, coverage, compliance, and association between infection and disease.

Detailed results of base case and additional one-way sensitivity analyses are presented in Table 2. Owing to the linearity assumption of effects, the approximations of outcomes with different reduction levels are easily extrapolated based on the results presented in Table 2.

Under the assumption of effect sparsity it is often anticipated that only a few experimental factors play an important role in the experiment.

Under this assumption of effect sparsity, while choosing a design for factor screening, it is important to consider projections of the design on to smaller subsets of factors and examine whether the projected designs allow estimability of some interactions along with the main effects.

With this result and the assumption of effect sparsity, we construct a step-up simultaneous testing procedure that strongly controls experimentwise error rate for a sequence of null hypotheses regarding the number of negligible effects (zero βj's) in orthogonal saturated designs.

The results justify the a priori assumption of effect modification due to differences in the quality of noise exposure assessment in the two samples (Greenland 1989; Hennekens and Buring 1987).

Furthermore, without explicit model predictions of patterns of enhanced recruitment, assumptions of reserve effects can neither be supported nor falsified by empirical results.

Assuming that the above-mentioned assumptions of the effects of divergent glacial histories on species diversity also penetrate to the more fine-grained scales of local communities, plot α-diversity should be higher in the Alps than in the Scandes.

These models mainly differ in the assumptions of marker effects contributing to total variance.

Genome-wide breeding value (GWEBV) estimation methods can be classified based on the prior distribution assumptions of marker effects.

We classified a priori participants without symptoms as the reference group for all comparisons and then divided the remaining participants into tertiles to avoid assumptions of linear effect.