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This study reports the AP2 scoring errors of researchers involved in a large sepsis trial and models the consequences of such an error rate for individual severe sepsis patients.
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1 In these models, the consequence of each treatment is often estimated in terms of quality-adjusted life-years (QALYs).
Instead, they modelled the consequences of assuming that newspaper readers also like to have their beliefs confirmed by what they read.
Modelling the consequences of extreme events is a daunting challenge.
It is timely to use large phenotypic and climatic datasets to model the consequences of global change on essential biological processes.
We further modeled the consequences of these differences in separation by eccentricity ratio in the context of the repulsion effect.
In the causality graph, they were introduced as signed edges to model the consequences of the variations in nodes.
In contrast, the study noted above attempted to model the consequences of NF-κB activation within developing breast epithelium in the absence of any other tumorigenic stimuli.
Apart from just estimating the costs and effects from the two main studies, we also modelled the consequences of quality-controlled medication lists.
By modelling the consequences of major bleeding events more explicitly, including costs and effects, they would have been cancelled out within the evaluation.
The ability of the causal model framework to model the consequences of interventions allows it to capture crucial components of causal reasoning and (as we shall see) is critical for the evaluation of counterfactual claims.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com