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It is a multivariate model.
Significant variables in the univariate analysis were included in a multivariate model (conditional logistic regression).
The covariables were selected by stepwise algorithm in a multivariate model.
Significant variables in the univariate analysis were included in a multivariate model (logistic regression).
In a multivariate model, knowledge of evolutionary terms was predicted by education and religious denomination.
A multivariate model with this covariance structure provides a reasonably good fit to logArea data.
A multivariate model was fitted with the variables examined in the univariate setting.
We investigated this possibility with a multivariate model.
Therefore, these parameters were included into a multivariate model.
Relevant variables were adjusted for in a multivariate model.
These factors remained important in a multivariate model.
More suggestions(16)
a multifactorial model
a multifaceted model
a multivariate modelling
a multivariate example
a multilayered model
a dimensional model
a multivariate sample
a multivariate pattern
a multivariate system
a varying model
a layered model
a multi faceted model
a fluctuating model
a multivariate models
a multifactor model
a multivariate perspective
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