Sentence examples for a more multivariate from inspiring English sources

Exact(1)

As such, it has been suggested that bivariate correlations are a poor indicator of genetic constraint and a more multivariate approach has been advocated (Dickerson 1955; Pease and Bull 1988; Walsh and Blows 2009; Houle et al. 2011).

Similar(59)

Multivariate distributions can also be defined using limited experimental data, adopting an efficient approach based on a mixture of one or more multivariate Gaussian distribution components [12].

Interestingly, upon further investigation of patients who could be observed for 90 days or more, multivariate analysis showed that a tumor volume occupying ≥50% of the liver and six or more transarterial chemoembolization procedures prior to initiation of sorafenib were significant prognostic indicators.

The nonlinear part of these models can be a more general multivariate polynomial function.

This has led to a more stable, multivariate, mosaic mixed hybrid urban residential spatial structure in Chinese mainland cities based on the institutional perspective.

Our population was small due to the scarcity of this disease, and a larger population would have allowed a more robust multivariate analysis.

To the extent that immigrants are more mismatched and as a result have lower wages, qualitative matching may be an endogenous mechanism behind the poor labor market performance of immigrants and justifies a more complex multivariate analysis.

In contrast, the new middle class and business owners have already transitioned to a more specialised, multivariate, intergenerational, and hierarchical consumption style such that it is crucial for Chinese manufacturers to integrate craftsmanship with information technology, commodity production with the internet, practicing individualization, customization, and specialization in production.

A more precise multivariate method than logistic regression, PSA is widely used for covariate adjustment [ 25].

However, if the outcome is categorical a more complex multivariate model with predictive probabilities should be used [ 58].

It is therefore necessary to rely on a limited amount of empirical and theoretical work to identify possible variables for inclusion in a more formal, multivariate regression model.

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