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"make causal claims" is correct and usable in written English.
You would use it to describe making a claim or statement of cause and effect. Example sentence: "The study attempted to make causal claims about the relationship between air pollution and cancer."
Exact(14)
Our key finding is that researchers fail to address at least 66% and up to 90% of design and estimation conditions that make causal claims invalid.
To make causal claims, we study an unusually drafted agreement in which states had almost no opportunity to dilute agreement language.
More specifically, interventionist mechanisms can provide the bridge from 'hunting causes' to 'using them', if interventionists (i) tell us more about the nature of these mechanisms, and (ii) endorse the claim that it is these mechanisms or whatever constitutes them that make causal claims true.
We realize we cannot make causal claims about our results.
One way of avoiding this problem, suggested in Hitchcock (2004a) is to make causal claims explicitly contrastive.
In order to make causal claims researchers often have to limit the scope of the claim because it must focus on a particular cause and a particular effect in order to establish a relationship between them, holding everything else equal.
Similar(46)
With support from the U.S. National Science Foundation in 2015 AERA held workshops on making causal claims with ILSA data.
Under the best conditions, even when using methods that focus on making causal claims, answers to most researchers' questions are qualified and limited in scope.
Making causal claims using ILSA data, however, cannot simply be achieved by modifying the measurement of particular concepts or variables for a particular context.
Consequently, our study design prohibits making causal claims but does provide rich information on associations between the intervention and knowledge and acceptance change.
In clinical settings, the gold-standard for making causal claims is the randomized-control trial (RCT; Meldrum 2000), where subjects are randomly assigned to treatment and control groups.
More suggestions(15)
make causal inferences
make wild claims
make inconsistent claims
make causal laws
make fantastical claims
make cavalier claims
make such claims
make excessive claims
make substantial claims
make causal conclusions
make systematic claims
make causal attributions
make causal links
make similar claims
make different claims
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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