Sentence examples for multivariate approaches for from inspiring English sources
In particular, we summarize several models for measuring change, explore multivariate approaches for examining correlated and coupled change, as well as compare alternative metrics for parameterizing developmental time.
Further exploration of multivariate approaches for more accurate discrimination is beyond the scope of this paper.
To compare the performance of the empirical and multivariate approaches for tissue classification using the same Raman data set, receiver operating characteristic (ROC) curves were generated by successively changing the thresholds to determine correct and incorrect classifications for all tissue samples.
A multivariate approach for testing the robustness of a capillary electrophoresis method using the "short-end injection" technique is presented.
Design of experiment was used in the context of Quality by Design, which requires a multivariate approach for understanding the multifactorial relationships among formulation parameters.
These results demonstrated the effectiveness of the proposed jointed use of drug cyclodextrin complexation and chitosan-Ca-alginate microsphere vectorization, as well as the usefulness of the multivariate approach for the preparation of colon-targeted celecoxib microspheres with optimized properties.
Given the simulation and experiment results, pICA-R may prove a promising multivariate approach for use in imaging genomics to discover reliable genetic risk factors under a scenario of relatively high dimensionality and small effect size.
Summarizing, in this study we employed a novel multivariate approach for the analysis of semantic category-related electrophysiological brain activity.
Meanwhile, Ozeki et al. developed a multivariate approach for SRS spectral imaging based on independent component analysis.
We use a multivariate approach for cluster selection, while Dettling and Buhlmann [ 10] employed a univariate approach, which assumes the independence of the contribution of clusters to classification.
The Cox (proportional hazards or PH) model (Cox, 1972) is the most commonly used multivariate approach for analysing survival time data in medical research.
