Your English writing platform
Discover LudwigExact(1)
The biggest limitation is the pre post study design because no causality can be achieved, and only possible associations discussed.
Similar(59)
No causality can be demonstrated.
Importantly, no causality can be inferred from such associations.
Namely, no causality can be inferred from the associations we observed.
Although no causality can be proved, this difference in dosage may be an explanation.
As no causality can be inferred in this cross-sectional analysis, the positive relationship between self-reported adherence and fear of hypoglycemia is difficult to interpret.
Finally, because we only conducted a retrospective analysis, only associations (no causalities) can be ascribed to the given data.
Of course, ultimately no causalities can be proven on the basis of a retrospective study such as this.
It is important to emphasize that because of the observational design of our study, no conclusions about causality can be drawn.
First, NHANES dietary intake and health data are cross-sectional and no assignments of causality can be made with regard to dietary intakes and health outcomes.
Finally, since this is an observational study, no conclusions about causality can be made.
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