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We fit three unconditional logistic regression models: (1) unadjusted model, (2) adjusted model for selected variables, and (3) adjusted random-effects model for selected variables and potential clustering of patients within EDs, with each of the four outcome measures as dependent variables.
Clock rates in substitutions/site/Myr x 10−4 estimated by BEAST under each clock model for selected clades.
Extracts from the final models including all control and covariates are presented in Table 2 and the full hierarchical model for selected outcomes is available in Table 3.
Objectives: We estimated apparent elimination rates using a simple first-order one-compartment model for selected dioxin congeners based on repeated blood sampling in a previously studied population.
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This approach is based on a calibrated discrete choice model for selecting parking alternatives.
In this paper, we propose a decision support model for selecting design parameters for one-way floor slabs.
The aim of this paper is to develop a BIM-aided variable fuzzy MCDM model for selecting LCB measures.
A new mixed integer linear model for selecting the best decision making units in data envelopment analysis.
We developed an optimization model for selecting the best technology and evolution path with the minimum total cost.
To this end, this study aimed to design a new model for selecting site location based on sustainability concepts.
Based on this representation model, a three-dimensional fuzzy evaluation model for selecting the sustainable medical treatment plan is further devised.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com