Your English writing platform
Discover LudwigExact(1)
In addition, associations in cross-sectional studies cannot always be interpretated as causal due to the problem of establishing the temporal relationship.
Similar(59)
Note that these results should not be interpreted as causal.
The conditional implication is interpreted as causal implication.
Finally, causal rules are interpreted as imposing Markovian conditions that further constrain world rankings to reflect the modularity of causal organizations.
The category is known as causal character of a vector.
The nodes are connected by edges that are categorized either as causal or non-causal.
Edges are relationships between nodes and are broadly classified as causal or non-causal.
That link has been established statistically as "causal".
These are not intended as causal statements.
It has increasingly come to be seen as a causal attribute.
Edges are relationships between the nodes, and are categorized as either causal or non-causal.
Write better and faster with AI suggestions while staying true to your unique style.
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