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Indeed, the division of this scientific community into two major groups one affiliated to agriculture and the other to medicine– is not perfectly correlated with the kind of modelling approach used: about 24% of models of C1 group are not population genetics models whereas 4.5% of the articles belonging to C2 group presented population genetics models.
The statistical modelling approach used to develop the imputation model for the MI procedure was logistic regression, since the missing variable is a binary quantity.
The modelling approach used was a discrete event simulation (DES) model of people with Type 2 diabetes using UKPDS-derived risk functions for development of vascular complications [ 16] and a multivariate regression model for the utility decrement associated with hypoglycaemia [ 7].
(3) Another modelling approach used in this study is the generalised additive models (GAMs).
The modelling approach used combines the natural modularity and clarity of presentation from LFT modelling with the ease of manipulation from symbolic algebra.
The modelling approach used was able to reliably predict the pressure drop behaviour within the Forchheimer regime.
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GO analyses were realised using the Ontologizer tool (http://compbio.charite.de/index.php/ontologizer2.html), performing term-for-term hypergeometric testing with the Benjamini and Hochberg false discovery rate correction, or a Bayesian modelling approach using the model-based gene set analysis (MGSA) option [ 84].
This paper aims to present a new systemic modelling approach using the unified modelling language (UML) and Multi-Agents Systems (MAS) to model the complexity and analyze the risks of maintenance activities within a Liquefied Petroleum Gas (LPG) supply chain.
To estimate the environmental niche of the species, we used an original data-set based on satellite image analysis to detect species presence and an ensemble modelling approach using three species distribution models (GLM, GAM and MaxEnt).
Our modelling approach uses a simple conceptual model design requiring minimal calibration and physically meaningful input parameters estimated a priori from landscape data or from analyses of streamflow recession curves.
In order to enable the application of the proposed concepts for any type of battery chemistry, a data based modelling approach using the architecture of local model networks (LMNs) is proposed.
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