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The function u ( x, t ) is assumed to be a causal function of time.
The unknown function (u=u x,t)) is assumed to be a causal function of time, i.e., vanishing for (t<0).
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The associations found cannot therefore be assumed to be causal.
The second method is the multithreshold association test where the markers are assumed to be causal.
This study was cross-sectional and therefore the associations observed cannot be assumed to be causal.
Dysregulations of vasomotor tone have been assumed to be causal for CSA-AKI [ 8].
Despite controlling for known confounding variables, associations cannot necessarily be assumed to be causal.
Dysregulations of vasomotor tone are assumed to be causal for CSA-AKI.
Thus far, we have implicitly assumed that the BNs being discussed obey causal semantics; that is, every directed edge represents an association between parent and child that can be assumed to be causal, as in Figure 1.
In terms of limitations, the study was cross-sectional, and therefore the associations observed cannot be assumed to be causal.
In those applications, not only covariance matrices of random variables are assumed to be structured (usually diagonal), but the causal structure itself is assumed to be known.
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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