Sentence examples for models our analysis from inspiring English sources

In addition, although we have adjusted for waist circumference at the time of lung function measurement and BMI at the time of fibrinogen and CRP measurement in all statistical models, our analysis remains vulnerable to residual confounding due to possible associations between obesity, lung function, and inflammation.

As is the case for all models, our analysis had to make a number of assumptions.

For other ERRs models, our analysis showed that the EMI enriched screening panel had significantly higher statistical power in comparison to a screening panel with similar AIMs density.

Considering the problem with the CAPM model, our analysis is established based on the traditional financial school, which uses a model similar to the factor model to explain the two visions.

Even though this paper considers a simplified smart grid model, our analysis provides important and useful insights for designing incentive-compatible demand-side management schemes based on aggregate energy usage information in a variety of practical scenarios.

As with any model, our analysis comes with some limitations.

We modelled our analysis approach after our previously successful comparative analysis of the Exon Array with other 3' arrays outlined in Bemmo et al. [ 11].

For instance, by setting the upper bound for optimization of the parameter η D at 1.0 for the BG model, our analysis allows the BG model to fit data simulated under the POSG model (exponential growth without a population bottleneck).

While there are substantial uncertainties in many components of our health benefits model, our analysis demonstrates an approach for integrating environmental and public health benefits into energy efficiency policy analysis.

Under the baseline conditions of our model, our analysis generated an unsettling finding: both patient's and researcher's expected utility value was the highest for the scenario "Do not trust" and "Abuse trust", respectively.

In spite of significant uncertainties related to the interpretation of PM2.5 health effects and other dimensions of the model, our analysis demonstrates that a risk-based methodology is viable for national-level energy efficiency programs.