Sentence examples for multivariate regression tests from inspiring English sources

In this section, we conduct multivariate regression tests on the informativeness of the two types of stocks: H share and AH share.

Linear and multivariate regression tests explored the association between the level of performance motivation and the predictors at different levels along with the CHWs' background characteristics.

This is because a test in multivariate regression tests whether the effect of the omics score is zero but does not assess how much accuracy can be gained through its inclusion in the model.

Note that as the final discriminatory step, when multivariate regression tests ranked a neutral control variable (Q or EV) as highest in significance among all tested variables, the locus in question was precluded from categorization as non-neutral (selection candidacy) regardless of results based on the other three criteria (e.g., linear correlation with environment).

Results of multivariate regression test were expressed by odds ratio (95% confidence interval).

If one uses only SNPs to be tested in the similarity matrix as in Wu et al. (2010, 2011), then one is effectively performing a multivariate regression test.

Gender, Child-Pugh Classification, GGT, AFP, DCP, number and size of tumor, BCLC stage were included in multivariate regression test on PFS.

Descriptive statistics and inferential statistical tests, chi-square test, bivariate and multivariate logistic regression tests were utilized.

After adjustment for DM, gender difference, age at initiation of study, and HD vintage in multivariate logistic regression tests, Group 1 was associated with lower nPCR (OR: 0.37; 95% CI = 0.16-0.83) and hypoalbuminemia (OR: 0.37; 95% CI = 0.20-0.67).

For the evaluation of clinical features of the patients of Group 1 and Group 4, risk factors including nPCR, albumin, diabetes mellitus, gender, age at initiation of study, and HD vintage were analyzed by stepwise forward multivariate logistic regression tests (Table  2).

Bivariate and multivariate regression analyses tested associations between determinants and guideline adherence.