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In our project, we examined model performance within various demographic segments, as well as underlying model assumptions, to identify demographic segments with higher susceptibility to bias in our context.
Unfortunately, very little information is available on the influence of various model assumptions to aid selection of appropriate unsteady-state models.
Data showed sufficient consistency with the Rasch model assumptions to produce reliable measures of the prevalence of food insecurity in each country.
Our main procedure is based on the principle of indifference combined with the maximum entropy principle, thus keeping external model assumptions to a minimum.
Free sVEGFR1 was secreted abluminally from endothelial cells into the interstitial space (Fig. 1B); luminal secretion of sVEGFR1 was neglected in congruency with model assumptions to neglect luminal insertion of membrane-tethered VEGFRs (for which there is little quantitive evidence and will be separately investigated in further studies).
In those cases, we adjusted the model assumptions to account for this dependence.
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Changing the model assumption to all infants being diagnosed promptly (and thus some receiving treatment earlier), the total number of children estimated to be in need of treatment would rise to 576.
Secondly, we qualitatively judged the fixed effect model assumption to be too strong given the potential differences in patient populations across drug and exercise trials.
Whether more general machine-learning approaches could do so, presumably by identifying underlying and subtly interlinked selectivity determinants without recourse to model assumptions, remains to be seen.
These discrepancies were attributed to the model assumptions, mainly to the expressions of anion exchange selectivities.
Furthermore, more theoretical and empirical studies would be helpful to assess our model assumptions and to develop improved models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com