Sentence examples for use of multivariate modeling from inspiring English sources

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The use of multivariate modeling can significantly reduce experiment and analysis time and expense.

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This could be addressed with the use of multivariate models if the relevant traits could be identified.

The use of multivariate models to analyze SPC incidence with cancer registry data will provide new research perspectives.

Other strengths include separate assessment of periventricular, deep WM and perivascular pathology, and the use of multivariate models controlling for MRI-autopsy delay.

Consequently, a failure to account for the moderating or mediating effects of these variables through the use of multivariate models and interaction terms will distort the true association between ethnicity and pathways to care.

The cohort study by Wood et al. also suggests an association between fitness level prior transplantation and risk of mortality [ 33], but a small sample size of 22 patients and no use of multivariate models hamper the interpretation of these results.

When the analysis of spatially aggregated data on multiple diseases is of interest, the use of multivariate models accounting for correla- tions across both diseases and locations may provide a better description of the data and enhance the comprehension of disease dynamics.

Our sample size limited the use of multivariate models to analyze each type of case separately by p53 status, though univariate analyses suggested that the association between risk factors and p53 status were similar in magnitude across the separate types of cases (adenomas, CIS, and IM) (data not shown).

The ANN model developed in the study can be successfully used for multivariate modeling of the encapsulation and release of VRP and similar drug salts from hydrophobic polymer MSs prepared by multiple emulsification in addition to other MS characteristics.

Using the HEXACO traits, we tested whether genetic covariance within each dimension was underpinned by a single common genetic factor using three distinct classes of multivariate model.

These data were used for the development of multivariate models.

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