Sentence examples for variable analysis method from inspiring English sources

Chakraborty and Datta [ 30] proposed a surrogate variable analysis method based on PLS.

Protecting against unknown confounders as in the surrogate variable analysis method [ 42] would seem a natural extension to this idea though further research would be necessary.

48 Both the propensity score calibration and the instrumental variable analysis methods have important constraints.

In determining the implicit variables predicting the observed variables based on theoretical assumptions, a varimax conversion was applied and five implicit variables were determined by the calculated basic variables analysis method.

The instrumental variable analysis (IVA) method, first developed in the field of econometrics [ 25] and applied to the field of health care research since the mid-1990s,[ 12, 26- 29] permits the consideration of not only observed factors, but also unobserved factors that might influence outcomes.

5 Cox regression analysis, propensity-score-based analysis and instrumental variable analysis are methods that have been used for correction of confounding bias in non-randomised studies.

Where, a small number of machine settings are selected as unknown optimal design variable by sensitivity analysis method.

To further assess the validity of our findings and adjust for unmeasured confounders, we also performed an instrumental variable analysis, an econometric method used to remove the effects of hidden bias in observational studies.

Similarly, when there are only bounds or ranges on some of the uncertain variables, failure analysis methods are needed to consider the complete range of uncertain intervals.

We did not evaluate other popular approaches that do not use information on the source of unwanted variation, the exemplar being surrogate variable analysis, or simpler methods as regressing with the principal components, as the main focus here was highlighting the requirement for batch effect correction, rather than evaluating methods.

Wavelet transform is a type of variable resolution time-frequency analysis method; it has good localization in the time-domain and frequency-domain and is used for EEG signal feature extraction frequently.