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The phrase "as a causal interaction" is correct and usable in written English.
It can be used in contexts discussing relationships or effects between variables, particularly in scientific or academic writing.
Example: "The study aimed to explore the effects of stress on cognitive performance, focusing on the relationship as a causal interaction."
Alternatives: "as a cause-and-effect relationship" or "as a causal relationship".
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Their intersection will count as a causal interaction on Salmon's account since the worldline in (i) exhibits a change in the conserved quantity.
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Second, given the pleiotropic health outcomes associated with CDH13 in previous GWAS, it is conceivable that modification of the air pollution lung function association reflected an underlying susceptibility caused by health conditions associated with CDH13 genotypes, such as cardiovascular phenotypes, rather than a causal interaction between the genotypes and PM10.
It should be noted that an edge between two nodes does not necessarily indicate a causal interaction between these nodes as it could equally be interpreted as co-regulated expression of both nodes by a common regulator.
A causal interaction is an intersection of world lines associated with causal processes involving exchange of a conserved quantity.
The other major element in Salmon's model is the notion of a causal interaction.
Thus, one can demonstrate rather a causal interaction than its non-existence.
Spatio-temporally continuous causal processes that transmit marks as well as causal interactions are at work when male Mr. Jones ingests birth control pills the pills dissolve, components enter his bloodstream, are metabolized or processed in some way, and so on.
For Boyle, as for other leading seventeenth century figures, perception was a matter of information entering the brain as a result of causal interaction between the perceiver and the perceived object.
Motivated by this observation, we designed a new causal interaction model, with the same engineering advantages as the noisy-OR model, to describe such effects.
A collision between two cars that dents both is a paradigmatic causal interaction.
The choice of a measure, however, affects the interpretability of a summary of individual effects as the population average effect, and the interpretability of heterogeneity of individual effect magnitudes as causal interaction (see sections 2 and 3).
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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