Sentence examples for multivariate setting that from inspiring English sources

For predicting increased level of ECFCs we performed logistic regression analysis in a univariate and multivariate setting that included each characteristic and all interaction terms.

We now show specifically in infants with MYCN-non-amplified localised unresectable/disseminated NB, in a multivariate setting, that a SCA genomic profile is of prognostic importance, rather than single genetic alterations or clinical stage.

The results of the experiment in a multivariate setting show that the Gaussian process regression model significantly improves the forecasting accuracy of a multi-layer perceptron neural network used as a benchmark.

Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses the geometry of multivariate data clouds.

The box plot is likely the simplest statistical technique to detect outliers in both univariate and multivariate data sets that makes no assumptions about the data distribution model [23, 32].

For multivariate data sets that are interrelated, appropriate application of PCA is using R = [ r ij ] matrix for eigen analysis.

Orthogonal projections to latent structures-discriminant analysis (OPLS-DA) [ 18, 20] is a multivariate classification technique used for finding patterns in large multivariate data sets that describe differences between the groups under study.

This paper is the first to conduct multivariate analyses of recent, representative micro-level data in the Israeli setting that directly measures current religiosity and religiosity among respondents' spouses.

It was found that in a multivariate setting the relationship between mechanical and abrasion properties is stronger than the relationship between mechanical and hardness properties.

We then performed multivariate Cox regression analysis incorporating these variables, and the only variable that remained statistically significant in the multivariate setting was the Ang-2/Ang-1 ratio, measured at fever onset (Hazard ratio 1.20 - 95%CI 1.02-1.41; P < 0.01).

All these relationships and non-relationships hold in a multivariate setting controlling for the effects of other variables.