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On the basis of multivariate analyses and Kaplan-Meier analyses, we determined that the breast cancer patient group expressing both mutant p53 and the p53γ isoform has a disease-free and overall survival as good as the patient group bearing wild-type p53 breast cancer.
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Principal component analysis (PCA), one method of multivariate analyses, is commonly used in metabolomic studies.
The design and calculation of the indicators were based on sequences of multivariate analyses.
Special attention is given to the use of multivariate analyses in the High Level Trigger.
The number of multivariate analyses was three.
The results of multivariate analyses are summarized in Table 2.
Table 3 also presents a hierarchical series of multivariate analyses.
Results of multivariate analyses are presented in Table 5.
P-values refer to results of multivariate analyses.
The response of such systems can be expressed in the complete basis of multivariate Legendre polynomials.
Proportional hazards regression [ 23] was the basis of multivariate survival analysis.
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