Примери за използване на Multivariate analysis на Английски и техните преводи на Български
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Multivariate analysis in SPSS.
The Journal of Multivariate Analysis 1970- 83.
The forefront of the development of the mathematical theory of multivariate analysis.
MANOVA stands for Multivariate Analysis of Variance.
The acronym‘ANOVA' stands for‘analysis of variance' andMANOVA stands for‘multivariate analysis of variance'.
Discrete Multivariate Analysis- Theory and Practice.
The factor scores can be used instead of the original variables in subsequent multivariate analysis.
But multivariate analysis of the pay gap indicate that it doesn't exist.
Perhaps his best known contribution is the widely used multivariate analysis of variance test which bears his name.
In a multivariate analysis, age was not found to be an independent factor of any of the pharmacokinetic parameters studied.
CodonW is a programme designed to simplify the Multivariate analysis(correspondence analysis) of codon and amino acid usage.
In a multivariate analysis controlling for available baseline cardiovascular risk factors, the hazard ratio was 1.32(95% confidence interval 0.91-1.91).
Conclusion: Applying contemporary statistical methods for multivariate analysis contributes to a more precise assessment of individual risk.
By multivariate analysis, the response rate was independent of myeloma type, performance status, chromosome 13 deletion status, or the number or type of previous therapies.
However, if the goal of factor analysis is to reduce the original set of variables to a smaller set of composite variables(factors)for use in subsequent multivariate analysis, it is useful to compute factor scores for each respondent.
It does seem that way, but multivariate analysis of the pay gap indicate that it doesn't exist.
Experiments will involve a combination of laboratory-based and field-based measurements, and techniques such as LIDAR,time-resolved measurements of low intensity light fields using photomultipliers, and multivariate analysis of Raman and fluorescence spectra will be utilised.
Elderly Population In a multivariate analysis, age was not found to be an independent factor of any of the pharmacokinetic parameters studied.
EGFR mutation status and clinical characteristics Clinical characteristics of never smoker, adenocarcinoma histology, and female gender have been shown to be independent predictors of positive EGFR mutation status in a multivariate analysis of 786 Caucasian patients from gefitinib studies*(see Table 7).
Many of his publications on multivariate analysis from this period show that he had been strongly influenced by R A Fisher while at University College.
Actually, the Quantum computer algorithm projections for behavioral chains(continuing committed lines of action)are far more accurate when they use complex multivariate analysis and millions of divergent models for projections and gaming each situation using high-speed calculations.
His early papers on multivariate analysis were his most important, one of most influential being Certain generalizations in the analysis of variance.
On multivariate analysis, the metformin effect was unaffected by demographic, anthropometric, and metabolic factors, by the development of diabetes, or by the use of statin therapy.
He also published A course in multivariate analysis and Cluster analysis as well a whole series of articles Studies in the history of probability and statistics.
In addition a pre-specified multivariate analysis performed on the ITT population demonstrated that vinflunine had a statistically significant treatment effect(p=0.036) on overall survival when prognostic factors(PS, visceral involvement, alkaline phosphatases, haemoglobin, pelvic irradiation) were taken into consideration; hazard ratio 0.7795% CI 0.61.
He gave eight lectures at Beijing University covering topics such as multivariate analysis, sequential methods, nonparametric estimation, robustness and efficiency of nonparametric methods, fundamentals of experimental design, complete class and regression design, factorial experiment, and nonlinear models, sequential design, and robust design.
Multivariate analysis showed that the pharmacokinetics of clofarabine are weight dependent and although white blood cell(WBC) count was identified as having an impact on clofarabine pharmacokinetics, this did not appear sufficient to individualise a patient's dosage regimen based on their WBC count.
Results of a post-hoc,exploratory multivariate analysis indicated that nivolumab-treated patients with poorer prognostic features and/or aggressive disease when combined with lower(e.g.,< 50%) or no tumour PD-L1 expression may be at higher risk of death within the first 3 months.
Multivariate analysis showed that the pharmacokinetics of clofarabine are weight dependent and although white blood cell(WBC) count was identified as having an impact on clofarabine pharmacokinetics, this did not appear sufficient to individualise a patient' s dosage regimen based on their WBC count.
Univariate and multivariate analysis of the primary endpoint in pre-specified subgroups demonstrated that the greatest benefit was observed in patients with higher disease activity including patients with SELENA SLEDAI scores≥ 10, or patients requiring steroids to control their disease, or patients with low complement levels.