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In order to identify factors associated with underweight, stunting, and wasting, we used random effects logistic regression modeling methodology using several maternal and infant covariates.
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Commonly employed modeling methodologies using indicators generated from real world data include logistic regression models, artificial neural networks, and other classification algorithms.
This paper presents a novel offline thermal error modelling methodology using finite element analysis (FEA) which significantly reduces the machine downtime required to establish the thermal response.
We tested the contributions of multi-dimensional forest and landscape structure variables using GARP (Genetic Algorithm for Rule-Set Production), a representative modeling methodology used in biodiversity informatics.
Finally, we describe the econometric modeling methodology used.
The paper concludes with a demonstration of the predictive BES model methodology using an existing building at University College Cork, Ireland.
Accuracy of ENMs per morphotype was examined using a null-model methodology using 99 randomisations that allows for significance testing of ENMs [ 80].
The chapter also includes a review of the various modeling methodologies used in the multiscale approaches.
The details on model methodology used in modelling papers included in this review can be seen in the Appendices [see Additional file 1].
The details of the model, methodology used for estimation of magnetic signature of the vessel and design of degaussing system is brought out in this paper with details of experimental setup and results.
The dispersion modelling methodology used a receptor grid spacing of 200 m.
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CEO of Professional Science Editing for Scientists @ prosciediting.com