Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
Multivariate logistic regression analyses were applied to control for probable confounders.
Similar(59)
Bivariate analysis was used as a preliminary step in screening for the probable confounders.
Table 1 presents the results of bivariate analyses for identifying probable confounders on the association between pregnancy intention and breastfeeding practices.
Our basic specification is first estimated using Ordinary Least Squares to control for observable confounders.
Now it might sound odd, that we would also need to control for genetic confounders while studying genetics.
Observational studies should adequately control for relevant confounders (eg, baseline comorbidities) and assess effect modification in the analysis.
Studies vary in the number of subjects, cohort characteristics, measurement of exposure and control for potential confounders.
To control for potential confounders, the RH, long-term and seasonal trends, day of the week (DOW), and holidays were introduced into the model simultaneously.
Further, because this was an observational study, we were unable to control for unknown confounders.
The remaining studies used multivariable methods to control for potential confounders associated with the outcomes.
Control for potential confounders is particularly important.
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