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For multivariate approach, multiple linear regression was applied, including exclusively the covariates for which the univariate P value was ≤0.15.
HCS uses microscopy images of cells and advanced image analysis methods to detect the effects of RNAis or small chemical compounds on a cellular process of interest; in a multivariate approach, multiple cell parameters are collected, allowing for a complex analysis approach.
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The effect of socio-demographic variables (age, gender, years of education, employment status, household income, living arrangement) and country on the frequency of problems in each of the EQ-5D dimensions was analysed using bivariate (chi-square test and simple logistic regression for the effect of age) as well as multivariate approaches (multiple logistic regression).
The strengths of this study include a population-based cohort study of healthy adolescents, the clustering structure of parental SES reflecting that of the general population (30), a multivariate approach and integration of multiple factors hypothesized as to be associated with the outcome variable adolescent arterial BP level.
The main advantage of this multivariate approach is the high sensitivity to stressors at multiple scales and the universal applicability across ecosystem borders and geographic regions.
This method employs a multivariate approach to simultaneously assess the spatial signal generated by multiple loci.
For gene fragments with multiple common SNPs, we used the multivariate approach (Pan 2009) in which each variant was assigned the same weight, z i = ∑ j = 1 m x i j.
Multiple factorial ANOVAs were conducted rather than a multivariate approach based on the study's premise that more narrowly conserved facets of impulsivity would be more sensitive to allelic variation.
In this study, we describe a multivariate approach using global sensitivity and decision-tree analysis to investigate how simultaneous perturbations in multiple reaction mechanisms affect AP-1 activity dynamics.
Variability in a complex technology such as shotgun proteomics may be characterized by multiple metrics, and sets of metrics imply the need for a multivariate approach to monitoring and evaluation.
Multiple correspondence analyses (MCA) is a technique that allows researchers to use a multivariate approach to lifestyle studies.
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CEO of Professional Science Editing for Scientists @ prosciediting.com