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The phrase "address issues of causality" is correct and usable in written English.
You can use it when discussing the relationship between causes and effects in a particular context, such as research, analysis, or problem-solving.
Example: "In our study, we aim to address issues of causality to better understand the impact of environmental factors on health outcomes."
Alternatives: "tackle questions of causation" or "examine matters of cause and effect."
Exact(4)
Experimental research allows researchers and clinicians to address issues of causality in ways that are not possible with correlational designs.
We performed a systematic review of studies reporting longer-term mortality following sepsis in adult ICU patients to specifically identify those that contained sufficient analyses to address issues of causality.
In the absence of randomised evidence, alternatives are required to address issues of causality.
Hence, longitudinal studies are needed to follow up on our initial promising results to address issues of causality.
Similar(55)
Based on this premise, and in an attempt to address issues of reverse causality not addressed in the twin study by Fujiwara and Kawachi (2008) [ 29], we derived all independent variables from 2003, 2005 and 2007 data and our outcome (SRH) from 2008.
Before issues of design can be addressed, however, we must first address issues of function.
CRCs should address issues of equity.
The study, whose lead author is CDC epidemiologist Judith Weissman, does not address the issue of causality -- in other words, whether mental health problems lead to more economic hardship or whether economic hardship leads to more mental health problems.
Furthermore, this study being observational and cross-sectional in nature, could not address the issue of causality.
Longitudinal studies are needed to complement the cross-sectional nature of this studyand address the issue of causality in research on workplace incivility.
The observational nature of the current study can not address the issue of causality but only suggests putative mechanisms for the observed relationships.
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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