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We further used a multivariate linear support vector machine (SVM) classifier to reveal the specificity of brain regions for classifying handedness based on individual resting-state maps.
We used a multivariate linear regressor for the FTP (for patients with time till next relapse < 500).
To analyze independent relations between NRT threshold and these parameters we used a multivariate linear mixed model, which included all the parameters.
Additionally, we used a multivariate linear regression model to estimate the relative impact of a number of factors on the direct medical costs of LD.
To determine whether a significant association exists between expression and methylation levels we used a multivariate linear regression model for regressing the gene expression level (dependent variable) on the methylation level (independent variable) with age and gender as covariates.
To investigate the relationship between the individual demographic and socio-economic status variables (age, educational attainment, marital status, occupation, type of place of residence, and household income quintile) and healthy lifestyle behaviour we used a multivariate linear regression technique.
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By using a multivariate linear regression analysis, we corrected for these differences.
Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction.
Large-scale brain networks were detected using a multivariate linear discriminant analysis (canonical variates analysis, CVA) that was tuned to fit the data.
Using a sampling rate of one day the authors use a multivariate linear regressionmultivariate linear regression expressed as N ̂ c ( t i, t r ) = Θ ( t i, t r ) X c ( t i ) · (14).
For each year from 2007-2011, we measure the effect of centrality on the short-term and long-term stock performance using a multivariate linear regression model controlling for the corporations' individual characteristics (see the Appendix).
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