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We first argue that such a model must be developed by performing a multivariate experiment in closed-loop, which is in stark contrast with the current industrial practice of single-input multi-output open-loop experiments.
We treat these data problems by performing a multivariate outlier analysis, along the lines of Hadi [ 24].
Finally, we identified the variables with independent predictor value by performing a multivariate analysis of Hazard ratio for Cox regression.
We have tried to mitigate the effect of these data problems by performing a multivariate outlier analysis and by censoring the data.
Comparison of the difference is usually done by performing a multivariate F-test to test whether two populations are distributed differently.
We determined the quantitative effect of each of these three variables on the cumulative percentage of TB cases prevented by performing a multivariate sensitivity analysis and calculating partial rank correlation coefficients (PRCCs) (Appendix).
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Prior to perMANOVA we checked its assumption (similar variance homogeneity between groups) by performing a distance-based test for multivariate homogeneity of group dispersions (MHGH) for a one-way ANOVA design [ 123].
By relating two datasets X (SCRS in our study) and y (TAG content by LC-MS in our study) by means of regression, PLSR performs a multivariate calibration in order to establish a linear model which enables the prediction of y from measured dataset X.
Using the significant variables determined by the univariate analysis, we performed a multivariate analysis for DFS and OS (Table 3).
We then performed a multivariate analysis by logistic regression with backwards elimination considering HLA alleles as regressors.
We also performed a multivariate analysis by logistic regression to control for potential confounders in evaluating the relationship between ScvO2 max and outcome.
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