Your English writing platform
Discover LudwigSuggestions(5)
Exact(37)
In nonrandomized intervention studies unequal distribution of patient characteristics in the groups under study may hinder comparability of prognosis and therefore lead to confounding bias.
Certain situations (i.e., presence of spinal reflexes, drug ingestions, and profound hypothermia/shock) may lead to confounding with brain death determination if relying on clinical testing alone.
Both processes lead to confounding, as evidenced by the example in Figure 1, which is agnostic about whether X follows the tree.
This will lead to confounding by indication.
This situation may lead to confounding by indication.
Different criteria in the decision making by the surgeons might possibly lead to confounding.
Similar(23)
These or similar circumstances may have led to confounding effects.
Second, the nonrandomized nature of the study could have led to confounding.
As depressive subjects underlie distortions in self-perception and tend to experience their personal situation as rather desolate, helpless, and hopeless, it might have led to confounding effects.
Not controlling for age would have led to confounding bias, and would have masked the positive associations found in this study.
This study design minimises the effect of channelling, a mechanism that leads to confounding by indication, where sicker patients are more likely to be early users of newer drugs.
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