Sentence examples for causality by from inspiring English sources

"causality by" is a correct and usable phrase in written English
This phrase typically appears when describing a cause-and-effect relationship between two or more objects or ideas. For example, "The increase in CO2 emissions has caused a change in global climate patterns due to causality by human activities."

Exact(48)

Lastly, work by Schadt and colleagues infer causality by applying conditional independence [ 19] or by placing priors on causal relationships according to the numbers of QTLs and the location of the transcripts with respect to their QTLs [ 18].

But he was driven to the apparent absurdity of denying causality by his desperation to solve the problem that Descartes couldn't: How can immaterial mind affect material bodies, and vice versa?

For example, Immanuel Kant tried to prove the principle of causality by showing that it is a necessary condition of the possibility of making empirically verifiable statements in natural science.

This is particularly true when it comes to using computers to analyse the human experience.But it turns out that computers can learn a lot about causality by reading personal blogs.

We attempt to resolve reverse causality by using maternal grandmother's death as an instrument for the availability of grandparental childcare.

Here Aristotle completes his theory of causality by arguing for the explanatory priority of the final cause over the efficient cause.

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The VAR k + d(max)) model can be tested now for the Granger non-causality by using MWald test statistic which has a standard asymptotic distribution.

Advantage of this approach is that according to the principles of Mendelian randomization the associations we investigated are neither affected by reverse causality nor by socioeconomic and behavioural confounders [ 44].

Explicit attention to theory development could benefit public policy practice by deepening our understanding of causality, and by bringing coherence to a fragmented body of knowledge.

In this study, we provide a more powerful causality test by measuring the strength of the causal relationship over a multiple horizon.

The study is limited by cross-sectional design that precludes establishing causality and by self-reported data on sexual behavioural and previous chlamydia treatment.

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