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Because the dogs represent a random sample of the population of interest, any interaction terms modeling differences between dogs in its response when changing from different observation periods will also be expressed as random effects.
This illustrates that the within group variation does not pose a problem in modeling differences between the groups.
Modeling differences between study arms is important in order to correct for potential imbalances within studies which could bias the results.
To handle certain modeling differences between the GO and ChEBI, we created and maintain BioChEBI (http://purl.obolibrary.org/obo/go/extensions/bio-chebi.owl).owl
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In order to limit as much as possible the influence of modelling differences between the software running on the real hardware and the simulation models, we have chosen to use the TinyOS 2.x simulator TOSSIM.
They look for gaps in our existing models – differences between what the computers and the observational tell them – and fill them in.
In this chapter, we begin with a description of EMICs and a classification and then review past model intercomparison projects to determine inter-model differences between EMICs.
In our model, differences between active and passive states are attributed to the rate of the uncorrelated external drives.
Using this model, differences between types of mice for each age cohort group were tested and odds ratios (OR) estimated through the interaction of mouse type and age cohort group.
For NEC models, differences between groups were assessed using the proportional odds logistic regression model.
However, due to the large uncertainty in the model, differences between men and women were tenuous.
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