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Crash frequency and crash severity models have explored the factors that influence intersection safety.
Several published models have explored the issue of antiviral resistance induced by drug selection pressure.
A number of epidemiological models have explored various mitigation strategies for pandemic influenza throughout the globe.
Previous models have explored the importance of resource heterogeneity in the context of migration in the Serengeti [9], [13], [14], [17].
While simulation models have explored the simultaneous roles of pollen vectors, field spacing, and adventitious plants on pollen-mediated gene flow rates [16], [17], statistical analyses of empirical data have not simultaneously quantified these effects.
Many models have explored analytically and by simulation the effects of such a structure, particularly in the framework of the Prisoner's Dilemma, but the results of these models largely depend on details such as the type of spatial structure or the evolutionary dynamics.
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Recent work relying on large-scale transmission models has explored the ability of these approaches to predict the timing of spread of the 2009 A/H1N1 influenza pandemic around the world [ 68].
The majority of experimental and theoretical studies addressing the Janzen-Connell model have explored how it can explain existing patterns of species diversity in tropical mainland areas.
Previous research in user interest modeling has explored several functions that map user behavior to levels of interest.
So-called dynamic modelling has explored various phenomena in infectious diseases' epidemiology and cost-effectiveness of interventions for control, and is increasingly becoming the standard and preferred approach in this area.
We have developed two statistical models and have explored the missing data model using the empirical evidence from the iQuit trial.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com