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By using the multivariate interpolation, the computational time of the solving algorithm is reduced.
Results: A repeated-measures analysis of variance by using the multivariate method yielded a 35% lower mean velocity (F1,13 = 5.83, P =.031), a 110% larger segment length variability (F1,13 = 9.72, P =.008) and a 60% larger variability of movement time per segment (F1,13 = 5.78, P =.032) in RSD patients.
However, we adjusted the possible influence of different agents by using the multivariate analysis.
By using the multivariate integral, we can also consider the multiple Genocchi numbers and polynomials.
m It is also possible to test whether the MCAR assumption is plausible by using the multivariate test proposed by Little (1988).
A systemic study of some families of the modified q-Euler polynomials with weight is presented by using the multivariate fermionic p-adic integral on Z p. The study of these modified q-Euler numbers and polynomials yields an interesting q-analogue of identities for Stirling numbers.
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The regression models were built by using the linear multivariate regression method Partial Least Squares (PLS), and the nonlinear multivariate regression methods Support Vector Machines (SVM) and Locally Weighted Regression (LWR).
Independent prognostic factors were analyzed by using the Cox multivariate proportional hazards regression model in a stepwise manner.
In addition, we undertook further stratification with estrogen receptor status by using the same multivariate logistic regression model.
MVs were imputed by using the MICE (Multivariate Imputation by Chained Equations) algorithm and R package [ 18], which allows for building up an imputation model with mixed-type covariates.
By using the individual multivariate GLMM approach we were able to focus on 'pure' parasite driven selection mechanisms because our models allowed us to include confounding factors that could obscure the detection of MHC effects.
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by using the high
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by pooling the multivariate
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