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The signs and magnitudes of the coefficients estimated with the OLS model in model (3) are largely consistent with the findings in Faulkender and Wang (2006) and Pinkowitz and Williamson (2007).
In the rest of this paper, we first describe the model in "Model, data, and experimental settings," present research findings in "Results and discussion," and provide concluding remarks in "Summary and conclusions".
The paper also discussed the structure of the overall Transtools3 freight and logistics model and how PC matrices from the trade model are combined with the transport chain choice model in model application.
This paper is structured as follows: first, related work is detailed in "Related work" section; followed by the model in "Model" section; "Simulation and results" section focus on simulations and results; and finally, we conclude the paper in "Conclusions and outlook" section, including an outlook.
As observed for the first model, in Model 2 (Table 4) resolution odds were not influenced by host factors.
For the first sensitivity analysis, we added the Charlson comorbidity index (CI) to the model in model 2 to correct further for patient complexity.
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It is necessary to use the plane solid continua model in modelling the deep beams.
The set-covering model in "Modeling" and the the node-arc formulation in Lai et al.
This paper highlights the usefulness of the individual growth model in modeling longitudinal change in QOL variables.
The Cox-proportional hazard model is a more general and the most commonly used model in modelling the hazard and survival function.
"There were all these wonderful models in model boxes.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com