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"The expression"—now linking this discussion back to the previous causal considerations—"is not an effect of the face".
The cross-sectional study design precludes causal considerations.
Initially concentrated on contextual thematic interrelationships (eg, linked Venn diagrams), resultant thematic modifications resulted in iterations of models which were 'based on both process and causal considerations'.
This view of causal inference is different from that in Austin Bradford Hill's causal considerations that may "… help us to make up our minds on the fundamental question is there any other way of explaining the set of facts before us, is there any other answer equally, or more, likely than cause and effect?" (14, p. 299).
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Determinist and fatalist arguments have the same conclusion, that the future is somehow fixed and not within our control, but the former do so from causal or nomological considerations while the later do not.
Whereas individual phenotypes are used to evaluate localized design considerations, causal biological mechanisms and design tradeoffs, the meta-phenotypes are used to evaluate global phenotypic diversity and relationships between metabolic traits and perturbation strategies.
Based on such observations, it seems plausible that people develop spatial mental models of other types of complex systems, such as the causal patterns under consideration here.
These findings should help researchers better contextualize blood antioxidant vitamin levels by illustrating the potential limitations associated with making causal inferences without consideration of social deprivation.
Causal models allow consideration of a broader range of outcomes or indicators of change (Hardeman et al., 2005; Paterson et al., 2009).
However, if a de novo model is true, a linkage-based strategy would remove the causal variant from consideration as it constitutes a Mendelian error.
Causal markers (structural/linguistic consideration): because, therefore, but also causal "and" and "so" Although one can do a simple search for "because," it is more difficult to assess "and" as a causal connective.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com