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The non-processed data obtained were pre-processed using the hierarchical multivariate curve resolution method [ 58].
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This observation is the basis for the inclusion of prior performance in the hierarchical multivariate regressions.
Table 6 summarises the statistically significant results from the hierarchical multivariate linear regressions.
The last (ninth) step of the hierarchical multivariate analyses is presented in Table 3.
For instance, using the exchangeable multivariate hierarchical Bayesian method (HB1), the within and between subject variances and covariance estimates and 95% credible regions were easily determined, as were intra-class coefficients.
When modelling BP control using a hierarchical multivariate regression model, none of the available GP and GP clinic characteristics had an effect.
The obtained raw data were imported to the MATLAB software for peak alignment and for extraction of spectra using a hierarchical multivariate curve resolution (H-MCR) method as described previously [ 26, 27].
The degree of variation was assessed using hierarchical multivariate regression analysis with NICU as a random effect and region as a fixed effect.From 2005 to 2011, mean ACU rates across California increased from 82%to87.9%9%.
The remaining GC-MS data were analysed using hierarchical multivariate curve resolution (H-MCR; [ 8], and 357 components (putative metabolites) were resolved.
Comparison of the CAZy set of various fungi was performed by double hierarchical clustering using the Ginkgo Multivariate Analysis System (Singleton Labs, Kaunas, Lithuania).
These data were analyzed using hierarchical multivariate procedures for each individual question [ 31].
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