multivariate analysis

There was no meaningful impact on the results in all multivariate analyses.

This was the beginning of Bartlett's involvement with multivariate analysis.

This polished matrix was used as the basis for multivariate analysis.

Several multivariate analysis techniques will be used to elaborate the data for these purposes.

According to one study that utilized multivariate analysis, its effect is large and significant even after many other factors have been taken into account.

Region was not associated with attitude toward vaccination in the multivariate analysis.

In the multivariate analysis we varied all of the parameters listed above simultaneously.

Multivariate analysis was carried out using Cox proportional hazard model.

Other areas he worked in include multivariate analysis, estimation theory, and differential geometry.

The multivariate analysis included all subjects in the study with full data on all the variables.

Often, studies that wish to use multivariate analysis are stalled by the dimensionality of the problem.

This system can produce the same result that multivariate analysis of a spectrum would produce.

Multivariate analysis techniques are frequently used to examine landscape level vegetation patterns.

We further examined the associations between physical activity status and lipids levels through multivariate analysis.

Multivariate analysis - observation and analysis of more than one statistical variable at a time.

He is also known for his work in the theory of statistical inference and in multivariate analysis.

My specific areas of interest are natural language understanding systems and multivariate analysis of text corpora.

There are an enormous number of software packages and other tools for multivariate analysis, including:

Predictive models using multivariate analysis have been derived.

Retrospective multivariate analysis of differentiated thyroid carcinoma with long follow-up.

Multivariate analyses to look at the relative impact of the various contributing factors to lower functioning were not performed.

Traditionally, algebraic statistics has been associated with the design of experiments and multivariate analysis (especially time series).

The results of the multivariate analysis are broadly in agreement with the univariate analysis (Table 2).

All multivariate analyses initially included the above-mentioned independent variables.

A multivariate analysis was performed to examine the influence of this polymorphism and other covariates (Table 3).