Sentence examples for multivariate analysis thus from inspiring English sources

This would also allow multivariate analysis, thus decreasing the confounder effect of the remaining variables.

However, this association was not observed in multivariate analysis, thus suggesting that other factors are also involved in the survival of ovarian cancer patients (Table  3).

A strength of our study is that, while most studies on preconception risks focused on a small number of risk factors [ 23], we took into account a large number of potential risk factors, which were included in the multivariate analysis, thus allowing to evaluate multiple potential confounders.

Both pre-dialysis clinic attendance and increasing length of time attending the pre-dialysis clinic were predictors of better physical function and emotional role limitation scores in univariate analysis, but not multivariate analysis, thus suggesting statistical redundancy between these two covariates.

To reduce number of genes in the multivariate analysis and thus the skewness of the dataset, genes with p < 0.1 for time × treatment interaction in the ANOVA (3355 genes) were selected and analyzed further using PLS-DA using Matlab Version 7.0.4 R14 (The Mathworks, Inc).

Furthermore, the association between calcium intake and ID became insignificant at the multivariate regression analysis, thus leaving menses as the main risk factor for ID.

In contrast to sex, taking implants into account was not statistically significant in the multivariate linear regression analysis; thus, implants were not considered as a factor to consider.

The multivariate analysis used here thus demonstrated the capacity of identifying differential aspects of the profile of ionic species from relaxed or stressed animals.

Thus, age and size are not random and a multivariate analysis is therefore not possible.

Using the test results for the water-binder ratio (W/B) values of 0.45 and 0.55, a hyperbolic function was used to perform a multivariate non-linear regression analysis, thus establishing a compressive strength prediction model for cement mortars of other ages based on the early strength at the age of 7 days.

Using the test results when the replacement rates of D were 0%, 10%and20%0%, a hyperbolic function was used to perform a multivariate non-linear regression analysis, thus establishing a compressive strength prediction model for cement mortars of other ages based on the early strength at the age of 7 days.