Sentence examples for models accommodating from inspiring English sources
Finally, the role of stability analysis in RANS environment, including the early attempts and new models accommodating the flow instability modes, is discussed in detail.
Hence, predictive models accommodating non-additive effects may provide additional insights.
Multivariable-adjusted statistical models accommodating multiple outcomes and multiple cycles per woman were used to estimate the relation between serum pesticide levels and IVF outcomes.
Nonetheless, advances in analysis methods for RNAseq, such as the assembly of clusters of full length alternative spliced isoforms [ 28] and models accommodating isoform expression estimates uncertainties [ 61], allow the estimation of differential gene expression for isoforms in our species.
Detailed Bayesian analyses were conducted under the non-parametric CAT mixture model accounting for site-specific heterogeneity of the evolutionary process, and under RNA-specific doublet models accommodating the occurrence of compensatory substitutions in stem regions.
Medication appropriateness index (MAI), adverse events, adverse drug events and post-discharge healthcare utilization were compared by study group using linear and logistic regression, as models accommodating random effects due to pharmacists indicated little clustering.
How will traditional organizational models accommodate new behaviors some previously unimagined or culturally unacceptable, such as trolling of people alone and in groups?
Hierarchical models accommodate unbalanced data and take into account the nested relationships among data points, thereby preventing pseudoreplication.
Our models accommodate several other features often considered obstacles to identifying peer effects, including pleiotropy (genes affecting multiple individual characteristics), population stratification, and gene-based homophily.
These models accommodate repeated measures of the outcome, and account for baseline levels as well as concomitant risk factors for the outcome [ 20].
In particular, the 'additive main effect, multiplicative interaction' models accommodate heterogeneity of variance and are characterised by a factor-analytic covariance structure.
