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As such, this study focuses on using a multivariate data analysis techniques, to develop a RMSW load-displacement (backbone) model.
Data were analysed using a multivariate data analysis (MDA) approach using the software package 'The Unscrambler' (v. 8.0, CAMO A/S, Norway).
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This study seeks to address this challenge using a multivariate solute concentration data set from a small riparian headwater wetland.
Experiments were designed using a multivariate approach and data were analysed using different projection methods (principal component analysis, partial least-squares).
A mixture-design method was used as a multivariate data analysis tool to investigate properties of gallate glasses in the GaO3/2 GeO2 NaO1/2 system.
Using a multivariate cross-sectional design, data was collected from more than the planned sample of 128 wards in three regions of England.
The aims of the study were, first, to determine whether significant differences existed between cases and controls on cognitive tasks, and whether cognitive profiles, derived using a multivariate classification method with data from multiple cognitive tasks, could distinguish between the two groups.
Burgueño et al. (2012) analyzed multienvironment data using a multivariate version of the genomic best linear unbiased predictor (GBLUP).
The correlations between the investigated variables were assessed by use of Spearman's rho and adjustments were performed using a multivariate analysis with logarithmically transformed data.
The most common approach has been to apply the method of independent contrasts [ 11], or alternatively, to model the data using a multivariate normal distribution which has a covariance structure derived from the phylogenetic tree.
Following published methods for calculating hospital readmission rates [ 31], we will calculate overall readmission rates using a multivariate Poisson model for count data, controlling for repeated measures on hospitals.
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