Sentence examples for methodologies of causal from inspiring English sources

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Mill's methods can be formalized and generalized into rich and sophisticated methodologies of causal reasoning (Ragin 1987; Baumgartner and Graßhoff 2004; Hofmann and Baumgartner 2011; Graßhoff 2011).

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Therefore, applying these methodologies allows the selection of causal structures without relying on prior knowledge alone.

We have found that some causal orientation methodologies yield accurate predictions of causal orientation in genomics data, and we have improved on this capability with a novel ensemble method.

In this subsection, we discuss a methodology for causal inference in observational data.

Human social life is invariably complex and attaining a better understanding of causal relationships necessitates a methodology that is flexible and dynamic enough to model intricate behavioral systems.

Limitations of the study include the fact that the study methodology was cross-sectional for which the direction of causal relationships cannot be determined.

We describe a methodology that facilitates exploration of patient sequencing data towards identification of causal variants under different genetic hypotheses.

Here, we present the first application of such methodology to a real data set, by exploring the space of causal structures among five productive and reproductive traits in European quail.

The methodology employed allowed the simultaneous estimation of non-linear model effects of causal covariates and, to account for spatial autocorrelation, of a 2-dimensional spatial trend function.

Such approach is followed here because different classes of causal structures may emerge from applying the search methodology using different HPD interval contents for statistical decisions.

Separate analyses were carried out for the three end points but the methodology applied did not allow us to explore the specific nature of causal relationships between congenital cryptorchidism, hypospadias, and testicular cancer.

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