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The accuracy of prediction is similar (in fact better in certain scale-up cases) when compared to a recently developed two-layer based model (developed by some of the authors).
For these cases the transition rate based model developed by van Dooren et al. [14] provides a better solution, but also requires both more detailed and often individual specific data, and much modelling effort to construct the analytical hazard function.
PREVENT was a cell based model developed by Gunning-Schepers in the Netherlands during the 1980s [ 23].
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Examples of this include the intermodal analysis modelling by Marc Ivaldy and Catherine Vibes [23, 24], the demand and cost function based models developed by Preston et al. [38], Wheelan and Johnson [52] and Glass [20] as well as the early models applied to transport analysing the strategic behaviour and price equilibrium situations by Brander and Zhang [9] and Oum et al. [36].
The family-based model developed by Youth Villages is effective and considerably less expensive than residential treatment for youths.
A structure-based model developed by applying the framework cannot only predict yield but can also provide the structure-based composition of the product mixture.
The aim of the study was to develop and validate an equation derived from bioelectrical impedance analysis (BIA) to predict appendicular skeletal muscle mass (ASMM) in healthy Caucasian elderly subjects, taking dual X-ray absorptiometry (DXA) as the reference method, and comparing the reliability of the new equation with another BIA-based model developed by Kyle et al.
This framework took its reference from the chronic care model (CCM), an evidence-based model developed by Wagner and colleagues [ 21– 23].
An agent-based model developed by Casal et al. [ 56] suggests that T-cells rely instead on information gathered from all pMHC interactions and not just (selectively) from a few peptides.
The SCHBM, a research-based model developed by the primary author, identifies six major factors that impact decision-making in health-seeking behaviors that lead to health care utilization.
An agent-based model developed by including a 'threshold' parameter into Thomas Schelling's model of racial segregation [ 100] led to a rather robust emergent clustering behaviour that, despite being amenable to empirical verification, is practically quite challenging to validate due to unavailability of reliable and extensive data [ 67].
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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