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The performance of the proposed solution has been experimentally evaluated with multiple scenarios in an IEEE 802.11 network.
The proposed method is evaluated with multiple data sets from four different range cameras.
Changes in blood and tibia lead levels adjusted for covariates were evaluated with multiple linear regressions.
The final PopPK model was extensively evaluated with multiple internal model validations, including goodness‐of‐fit diagnostics, prediction‐corrected visual predictive checks (pcVPC), 21 nonparametric bootstrap, 22, 23 shrinkage, 24 and sensitivity analysis, and was further validated based on an external dataset.
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Epistatic interactions between QTL were evaluated with the Multiple Interval Mapping (MIM) [ 48] method implemented in Windows QTL Cartographer using Bayesian Information Criteria (BIC-M0).
However, the results we obtained did not support the hypothesis of a genetic by environment interaction between single and twin lambs, which we evaluated with a multiple-trait model; the genetic correlation between the direct (maternal) effects for single or twin lambs was not significantly different from 1 and their variances did not differ.
Multiple factors that were considered to possibly modify MDA-LDL levels were evaluated with a stepwise multiple regression analysis.
This strategy is applied to all the algorithms evaluated with successful results; multiple runs of each algorithm with the flexibility to vary key parameters have proven that non-constant parameters result in significant improvements in their performance.
Data were evaluated with the Dunnett multiple comparisons.
The effect of signalment (age, sex, breed group) and disease type were evaluated with simple and multiple logistic regression analysis.
Mouse body weight, serum growth hormone levels, and fasted blood glucose levels were evaluated with one-way ANOVA with multiple comparisons testing.
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