Sentence examples for multiple variables which from inspiring English sources

This surface was constructed by accounting for the influence of multiple variables which appear to contribute to disease potential.

Interpretation of these trials has been difficult because of multiple variables, which include differences in trial design, cell type, timing of cell delivery, and outcome measurements.

The Multivariate Ensemble Streamflow Prediction (MESP) is employed to sample from historical records for obtaining statistical prediction of multiple variables, which is then used as inputs to achieve multivariate prediction.

The idea is to let companies that operate in physical domains — starting with infrastructure construction — use AI to help make better informed decisions based on multiple variables, which are large in number and complexity.

Bayesian networks are a representation of the joint probability distribution among multiple variables (which could be datasets or information sources).

An R code for our method of partial correlation analysis that controls for the influence of multiple variables (which was used to produce the data in Table 1) is available at Yi lab website (www.yilab.gatech.edu).edu

We opted to use the index of relative disadvantage, which is a composite indicator summarising multiple Census variables which describe socioeconomic circumstances.

We do, however, recommend further testing of these imputation approaches in datasets that have multiple incomplete variables, which will require the use of MVN imputation or MICE rather than univariate imputation models.

First-level analyses used a general linear model with multiple explanatory variables, which were presentation of word cues, trial-by-trial dyspnea and anxiety ratings of word cues, random letter strings, and periods when subjects were rating using the VAS.

In this study, the aim of the use of the SVM with advanced statistical learning algorithm for gait symmetry is to mine the more intrinsic nonlinear dynamic information hidden in gait data from the inter-relationship between multiple gait variables, which can accurately identify the small difference between the right-left sides of lower limbs.

While we controlled for multiple variables by which Massachusetts and control states differed, including population demographics, measures of economic conditions (county level income and unemployment rates), and local physician supply, we could not control for other potential unmeasured factors such as local "medical culture" that could have influenced our results.