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Such models can be extended using hysteresis modeling to account for the non-linear nature of the tissue.
We used Bayesian multilevel modeling to account for the hierarchical structure of the data and assess uncertainty in parameter estimates.
Test results were calibrated in finite element modeling to account for strain gage local stiffening effects and thickness normalization.
We used linear mixed regression modeling to account for the repeated measures of the LDH assays on successive days for each tissue sample.
The current limits of array-based SNP analysis was demonstrated by a recent study using a similar method (without artifact silencing) and rigorous background modeling to account for template-dependent background [10].
We used Generalized Estimating Equation modeling to account for the correlated structure of the data and to identify which contextual dimensions and individual characteristics predict two kinds of self-reported research use: instrumental (direct) and conceptual (indirect).
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The oxide build-up is empirically modeled to account for fretting oxidation.
In addition, the realignment parameters were separately modeled to account for movement-related variability.
Sensitivity analysis was then applied to the model to account for overall risk and uncertainty.
Dr. Simpson, then director of the National Hurricane Center, expanded the model to account for potential storm surge.
We design a model to account for these empirical facts.
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