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Multivariate regression was used to control for potentially confounding variables.
Multivariate regression was used to evaluate the hypothesized association.
Multivariate regression was used to evaluate the relationship between radiographic measures and femur fracture.
Multivariate regression was built between the NIR scores as the predictor variables and the dissolution profile parameters as the response.
In this contribution, multivariate regression was applied to surface channel rock and borehole geochemical data from the world-class Sari Gunay epithermal gold deposit, in northwest Iran, to model subsurface mineralization for further drilling.
Multivariate regression was performed to determine the independent impact of glaucoma and VA and VF losses on PF.
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Multivariate regression is implemented using regression splines (RS).
Multivariate regression is a common statistical tool for practical problems.
Bivariate correlation analysis and multivariate regression were done to understand the association between and relative contributions of significant predictor variables of female work force participation.
Pairwise t tests and multivariate regression were used for analysis.
The results of the multivariate regression are displayed in Table 3.
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