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A linear mixed-effects model to evaluate the effect of meal type on the concentration of malondialdehyde was used.
This analysis uses the MIT U.S. Regional Energy Policy (USREP) model to evaluate the effect of a carbon tax as part of a Federal budget deal.
We then use the model to evaluate the effect of an alternative assignment to classes on the topology of the network.
Rate constants and parameters obtained from batch-scale studies were used in a mechanistic model to evaluate the effect of these two loading rates on CEC removal.
To test Version 1.0 of ECLPSS, we created a model to evaluate the effect of tropospheric ozone on forest ecosystem dynamics.
We then use the model to evaluate the effect of the previously mentioned variables as well as aggregate intrinsic permeability on the macroscopic permeability of the same composite specimen using a series of non-conforming FE meshes and level set functions to monitor the heterogenities.
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We perturbed the model to evaluate the effects of different assumptions on the viscoelastic relaxation predictions.
Nowadays it is standard to use the dynamic stochastic general equilibrium (DSGE) model and New Keynesian models to evaluate the effects of Federal Reserve policies.
We used linear mixed-effects models to evaluate the effects of diet on urinary metabolite concentrations.
We used continuous linear regression models to evaluate the effects of BPb or TPb on ACTH.
Cox proportional hazards modeling was used to evaluate the effect of RT, gross-total resection (GTR), and chemotherapy on survival.
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