Structural equation models (SEM) are increasingly used in ecology as multivariate analysis that can represent theoretical variables and address complex sets of hypotheses.
Here we propose an easy-to-implement joint location-scale (JLS) association testing framework for single-variant and multivariate analysis that accounts for interactions without explicitly modeling them.
In multivariate analysis that included clinical prognostic factors, the combined histologic risk posed by high LI and low HB retained independent favorable prognostic value for NRM RRR, 5.05; P =.015) and OS RRR, 3.31; P =.038).
The NLSY79 is used to compare the distance of onward and return migrations by Hispanics, blacks and whites in a multivariate analysis that controls characteristics of migrants and of places of destination and origin and age, education, marriage, length of residence, employment, income.
In a multivariate analysis that controls for differences between individuals (i.e., allowing researchers to compare "statistical twins"), the Himmelstein group found that being uninsured at filing did not significantly predict a medical cause of bankruptcy (as opposed to other causes).
A larger sample size would have allowed for multivariate analysis that might identify characteristics of "high-risk" scans that would benefit from real-time interpretation by attending radiologists.
Finally, a multivariate analysis that includes all the cognitive, non-cognitive and contextual variables provides an overview of the overall effects.
In our cohort, orthostatic hypotension was one of the predictors of adverse events in both the univariate and multivariate analysis that had not been described before in any other decision rule.
Subsequent sections in this paper discuss some of the basic definitions, provide an overview of the various preprocessing methods and state-of-the-art data processing tools for multivariate analysis that are widely used in Raman and IR spectroscopy.
This method is a descriptive multivariate analysis that allows for rapid identification of statistical relationships between variables.
In a multivariate analysis that used Wald's test model, results were considered to be significant when p-values were <0.05.
