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In this study, the feasibility of this multivariate method to model the multivariate dependency of seven soil parameters including the undrained shear strength ratio, overconsolidation ratio, sensitivity, normalized cone tip resistance, normalized sleeve frictional resistance, pore pressure parameter, and normalized shear wave velocity.is studied.
Canonical Correlation Analysis ("CCA", [ 36 ]) is a multivariate method to find correlation between sets of variables.
Logistic regression was used as a multivariate method to ascertain which variables independently predicted CR.
DAPC is a multivariate method to infer the genetic structure of populations.
In our retrospective study, we have used the decision tree multivariate method to identify the group of childhood cancer patient with the greatest risk for development of SN.
Logistic regression was used as a multivariate method to ascertain whether the UGT1A1 genotype independently predicted toxicities significantly related to this variable in previous univariate analysis.
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Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields.
Here we used a historical data set and multivariate methods to explore the determinants of the boundaries of Forest, Fynbos, Grassland, Renosterveld and Thicket biomes in a 1200 km2 area of the Kouga region.
OLC variables are also converted to dichotomous variables for better reliability in the moderation tests (Ping Jr [96 98]. This study employs multivariate methods to test the hypotheses.
In addition we used multivariate methods to further refine the original risk score to improve its predictive power of SAE's.Univariate analysis confirmed the strong correlation of each of the 10 components of the original risk score with SAE attributed to a pediatric cardiac catheterization (P < 0.001 for all variables).
Previously, researchers have applied multivariate methods to data that are pooled after statistically neutralizing any group-effect.
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