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Introduction: This study analyzes the in-service performance of roadside hardware on the entire urban State Route system in Washington State by developing multivariate statistical models of injury severity in fixed-object crashes using discrete outcome theory.
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In order to test this hypothesis we developed multivariate statistical models predictive of toxicity selecting from PCFs associated to molecular pathway activity.
We developed multivariate statistical models to evaluate the associations between hair Hg and measures of fish and Hg intake.
Such scores (for example, APACHE II or SAPS II) are developed by multivariate statistical methods.
To efficiently execute such mapping, we had developed a multivariate statistical software named Marina [ 51].
The attitude determination problem will be solved by the recently developed Multivariate Constrained (MC-) LAMBDA method.
The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between conceptually isolated key-components of the studied ecosystems.
The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between the selected components of the studied watersheds.
The dynamic model developed was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between the selected ecological components.
Copulas provide a means to achieve this by enabling the development of multivariate statistical models of sea storms.
This was achieved by using multivariate statistical tools, which identified markers (metabolites and genes) correlating with a particular genotype.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com