Sentence examples for multivariate analysis multiplicity from inspiring English sources

Size differences were particularly striking for the number of polyps: in both univariate and multivariate analysis multiplicity of polyps, present in about one-third of patients, was the strongest risk factor for polyp size.

Multivariate analysis using image measurements indicated a multiplicity of factors, rather than a unique set of factors, that were associated with outcome(s).

Multivariate analysis may give an alternative approach to the multiplicity issue.

With multivariate analysis, the present study revealed Child-Pugh class, tumor size, tumor multiplicity, presence of PVT, AFP, CRP and NLR as independent factors predictive of outcome of HCC.

However, in multivariate analysis, only the age, the size of the largest recurrent tumors, and multiplicity of recurrence were associated with the optimal cytoreduction.

The multivariate analysis revealed that sex (P = 0.017), tumor location (P = 0.015), tumor multiplicity (P = 0.002) and KPNA2 expression (P = 0.018) were significantly associated with bladder recurrence (Table  2) and were independent risk factors for bladder recurrence.However, tumor side was marginally significant (P = 0.057) in the multivariate analysis.

As the variables observed to have prognostic influence by univariate analysis may be covariate, the expression of H3K27me3 and other clinicopathological features that were significant in the univariate analysis (tumor multiplicity, T classification, and N classification) were examined by a multivariate analysis (Table 3).

Multivariate analysis showed that the age at recurrence, the size of the largest recurrent tumors, and multiplicity of recurrence were associated with the optimal cytoreduction (P = 0.046, 0.028, and 0.044, respectively) (Table  3).

Multivariate analysis of the training cohort indicated that IFN- α2 (P⩽0.001; HR, 7.486), GRO (P=0.016; HR, 2.426), and tumour multiplicity (P=0.019; HR, 2.117) retained their importance for predicting DFS.

The multivariate analysis... indicates that heads of poor families should average $2,204 in earnings.

The only way really to "get at" the electorate is to perform multivariate analysis -- one in which all the relevant variables are examined simultaneously.