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Rather than debating their accuracy and efficiency, we adopt a pragmatic approach to business models — we examine them as market devices, focusing on their materiality, use and dynamics.
Using regression models, we examine the relationship between attitudes toward impact and socially responsible investments and willingness to pay for socially responsible choices.
By integrating evolutionary relationships among traits that may modulate plant response to habitat loss, the structure of plant pollinator interaction networks and metacommunity models, we examine how plant pollinator metacommunities might respond to habitat loss.
The models we examine here are intended as informative examples of the generation and limits on S scaling, not an exhaustive list of those which could generate the specific linear scaling we found — that remains the subject of future work.
In the first set of models, we examine whether the decedent was classified as American Indian on the death certificate as a function of whether the decedent died of cirrhosis (Table 1A); the second set of models (5 8) is structured in the same way as the first, but examines the relationship between being the victim of a homicide and being classified as Black on one's death certificate (Table 1B).
Through nonparametric logistic regression models, we examine the effects of gestational age, fetal growth, and maternal smoking on neonatal mortality.
Similar(51)
As a follow up to our regression models, we examined pathways of mediation (Fig. 1).
Before constructing the models, we examined whether there was multi-collinearity among the independent variables.
Using mixed nonlinear models, we examined associations between induction strategy and opioid use and any drug use.
Using in vivo and in vitro models, we examined the effect of metformin on maternal and fetal inflammation.
Table 2 summarizes the performances of five predictive models we examined.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com