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Special attention is given to the use of multivariate analyses in the High Level Trigger.
There is a potential for residual confounding despite the use of multivariate analyses in this cohort study.
The strength of our findings lies in the heterogeneity and the size of the population investigated and the use of multivariate analyses.
The use of multivariate analyses can reveal features in the spectra which may not be detectable with traditional statistical analyses of peak integral ratios [ 28, 29].
There are no previous reports of the use of multivariate analyses to disentangle the roles of both the vapor and PM organic phases of engine emissions.
This discrepancy is most likely explained by our use of multivariate analyses to control for the confounding effects of comorbidity on health care costs.
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The method used a series of multivariate analyses to define the links between therapeutic factors and their degree of interconnectedness.
Data used in the National Evaluation, plus the additional variables defined from the team data were used to undertake a set of multivariate analyses.
Here we illustrate the importance of multivariate analyses using data from the Seattle, Washington, longitudinal prospective study on alcohol and pregnancy.
Table 3 shows the results of multivariate analyses using significant factors after univariate analyses associated with EOL care selection were performed.
Results of multivariate analyses using the Cox proportional hazard model to identify clinicopathological factors influencing RFS, OS, and COS in 945 patients with gastric cancer.
More suggestions(15)
use of phylogenomic analyses
use of logical analyses
use of phylogenetic analyses
use of multivariable analyses
use of quantitative analyses
use of multivariate tools
use of multivariate techniques
use of multivariate geostatistics
use of multivariate methods
use of spatial analyses
use of adjusted analyses
use of multivariate procedures
use of multivariate strategies
use of semiquantitative analyses
use of multivariate detectors
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