Real-world simulations of various hydroclimatic processes with different correlation structures and marginals, such as precipitation, river discharge, wind speed, humidity, extreme events per year, etc., as well as a multivariate example, highlight the flexibility, advantages, and complete generality of the method.
For example, the multivariate model developed by Mankoo et al. (2011) and the sparse regression method proposed by Witten and Tibshirani (2009), both can learn multi-dimensional genomic data in the supervised manner.
PLS-DA is an example of a multivariate model that has been applied in systems biology a case study being our previous work on Indonesian herbal medicines, popularly known as Jamu.
Also, risk based stratification may still obscure important modification of relative treatment effect that can be discovered or excluded (as in the Justification for the Use of Statins in Prevention trial example) by a multivariate model for predicting treatment effect based on trial data.
A possible extension of the concept of relative stochastic orders to the multivariate case is discussed and some examples of interest are given in Section 2.5.
We defined a model as adjusted if explicit statements regarding adjustment were made, covariates were listed, or a statistical test that by definition is multivariate (for example, multiple logistic regression, multivariate analysis of variance) was reported.
*Adjusted for all other factors in multivariate model for example, ultraviolet radiation in first trimester adjusted for sex, region of birth, and decade of birth.
From the multivariate normal example above it is straightforward to show that the non-informative margins condition of Proposition 1 holds for imputing any W j. The conditional distribution of Y given W, p(Y ∣ W, ψ Y ), is the logistic regression model with covariates W[ 25].
For example, sex and household assets are dropped from the final multivariate model for speaking (Table 4).
For example, the effect of tea consumption is significantly elevated in the multivariate model.
An example of such analytic limitations is including hypertension as an independent variable, together with uric acid, in a multivariate model for predicting cardiovascular disease.
