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Logistic regression models quantified the relationship between classification accuracy and these landscape variables for each land-cover class at both the Anderson Levels I and II classification schemes employed in the NLCD.
Adjusted Cox proportional hazard models quantified the association of baseline and change in ambulatory activity (from baseline to 12 months) with the risk of a subsequent cardiovascular event, after adjustment for each other and potential confounding variables.
Multivariate Poisson models quantified the association between bans and smoking related cancer, cardiovascular and pulmonary deaths.
The hazard ratio for GP88 in these models quantified the impact of GP88 adjusted for each of the conventional risk indicators in turn.
Multivariate regression models quantified the association between changes in unemployment (based on claimant data) and suicides (based on data from the National Clinical Health Outcomes Database).
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This was a pioneering application of principal-component models, quantifying the role of institutions and income distribution in development processes.
Presently, the number of available models quantifying the influence of food characteristics on the pathogen inactivation is scarce.
Appropriate management models quantify the parameters of the technical model on the basis of the safety management system of the installation.
Linear mixed-effects models quantify the impacts of land configuration on LST at the parcel scale, controlling for the effects of land composition and neighborhood characteristics.
Models quantifying the effects of cropping systems on weed life-cycles, in interaction with environmental conditions, are invaluable tools to evaluate and design integrated cropping systems.
Models quantifying the effects of agricultural practices on weed emergence, in interaction with the soil, are necessary to evaluate and design cropping systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com