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(Multivariate linear path models involve linear mean function specifications).
A multivariate linear path model was then constructed to investigate direct and indirect effects of the biomarkers on this outcome.
Thus, we use multivariate linear path modeling, which requires only partial ordering; i.e., an ordering of sets of variables.
While classical methods require a complete causal ordering of variables, Multivariate Linear Path Model (MLPM) allows a relaxation of this assumption, requiring only a causal ordering of sets of variables.
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Using L1 regularization path algorithm, two texture-based multivariate linear models were constructed, one for quantitative and the other for quantitative histology prediction.
Structural equation modelling descends from Sewall Wright's path analysis and is a generalization of multivariate linear regression analysis.
A rule represents a path through a decision tree, for each rule a multivariate linear regression is used to calculate a predicted value.
In summary, the multivariate linear model provided a possible relationship between the global topological metrics and kinetic scan paths metrics.
No single storm took a linear path.
MesoWest uses multivariate linear regression to estimate observations [5].
Three multivariate linear models were fitted to the data.
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