Sentence examples for proper causality from inspiring English sources

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Careful monitoring and meticulous data collection during clinical trials are essential in all cases with established liver injury to allow for a proper causality assessment.

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Model-based fault detection and isolation (FDI) requires an analytical system model from which fault indicators can be derived by assigning proper computational causalities.

In his commentary on the Timaeus, Proclus observes that Aristotle never rises to the proper level of causality.

Here Dietrich is following a distinction he finds in the Liber de causis, where creation is understood as the bestowal of being while production is taken to be a formative causality proper to creatures.

Second, the cross-sectional nature of the UNHS data does not allow for proper ascribing of causality and associations between explanatory variables and NCDs.

In parallel, such processes are required to be continuous rather than age-specific, for otherwise no proper account of causality is given.

Such a transfer function is proper and therefore respects causality; it discharges completely as required (since it has no integrator, i.e., no factors of the form 1/ s in G1 s)).

The enlargement of the MI bell-shapes causes similar peak values which impairs a proper identification of the strength and of the causality in both E and EI models.

Finally, when making comparisons, the complexicity of the various phenomenon (healthcare systems, migrants, social system etc). of the countries needs to be taken into account as well as caution against inferring causality without the relevant evidence or proper understanding of the context and categories [ 29].

As with most rights (article 3 is a notable exception), socioeconomic rights are not absolute but contextual, their content being informed by judicial recognition of the competing interests and complex causalities in play and the need for proper deference to the will of elected representatives.

Crucially, although this approach negates both confounding and reverse causality, a number of key assumptions that demand proper understanding of the underlying biology and mathematics must be met (Didelez and Sheehan 2007; Palmer et al. 2008; Sheehan et al. 2008).

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