Sentence examples for multivariate analysis whose from inspiring English sources

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Recursive partitioning is a type of multivariate analysis whose purpose is the construction of classification algorithms, and it is especially useful when there are a large number of predictive variables with complex relationships with the event.

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Principal component analysis (PCA) is a multivariate data analysis whose main aim is to represent a large set of data through limited multivariate data, called principal components (PCs) [15].

Immunohistochemical staging using both p53 and Bcl-2 significantly predicted survival duration by univariate and multivariate analysis; patients whose tumors stained positively for p53 and/or overexpressed Bcl-2 had a significantly longer survival than those whose tumors stained negative for both proteins.

Multivariate analysis with variables whose P values were less than 0.100 in univariate analysis demonstrated that lymphatic invasion, pT and pN category, and KCC3 expression in invasive front were independent prognostic factors (P = 0.044, 0.015, 0.011, and 0.001, resp).

In multivariate analysis (excluding P1PS whose data were only available for 159 patients), the RPA, Le Scodan's score, and GPA were found to be the best independent predictors of overall survival.

We and others show that patients for whom tumors were able to form xenografts had a significantly shorter DFS, in a multivariate analysis, than patients whose tumors failed to engraft 7.

Results from the multivariate analysis showed that individuals whose age was 31-40 were 10.7 times more likely to seek treatment later than subjects under 20 years of age [OR-10.7, 95%CI (1.99, 56.99)].

When the GP's characteristics were added to the patients' characteristics in the set of independent covariates, multivariate analysis showed that patients whose GP practiced regular physical activity had a lower BAPAD score (partial r = −0.20, P = 0.0043).

Our study indicated that CD56 expression was correlated with higher CIR and inferior EFS, and was an independent adverse prognostic factor for EFS by multivariate analysis among APL patients whose initial WBC counts were ≥3.0 × 10/L.

Multivariate analysis reported that among those whose pre-baseline duration was at least one year compared to those whose pre-baseline duration was less than three months, the odds of a poor short-term course of depression (no full recovery within half a year) were over five times higher (versus those whose pre-baseline duration was less than three months) (OR = 5.22, 95% CI 2.45 11.15).

Multivariate analysis was performed to identify genes whose expression correlates with the most resistant disease phenotypes.

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