Your English writing platform
Discover LudwigSuggestions(5)
Exact(6)
In multivariate logistic regression models, adjustment for waist:hip ratio reduced the odds ratio for later-stage disease in African-American women by 20%; adjustment for both waist:hip ratio and severe obesity reduced the odds ratio by 27%.
For all models, adjustment for age and interview mode did not meaningfully change estimates (Table 2).
In the multivariate models, adjustment for confounders varied by the risk associated with the outcome of interest.
In Poisson models, adjustment for clustering lowered the precision of the estimates relative to stratified IRR results.
For all models, adjustment for the correlation between twin pairs was made with the use of Huber-White robust variance estimation (40).
Then, additional covariates were added in subsequent models: adjustment for age and parity (model 2), adjustment for model 2 variables plus SES (model 3), adjustment for model 2 variables plus smoking (model 4) and adjustment for all variables simultaneously (model 5).
Similar(54)
Using our age and gender adjusted model, adjustment for height and then either weight, or fat and lean mass, produced similar degrees of attenuation compared with BMI adjustment.
The model adjustment for controlling confounding was based on the ideas of Lee [6].
(2) The model adjustment for bias correction significantly improves the predictions for two edges (small and large trees).
Separately, additional model adjustment for body height did not change the results (data not shown).
Model adjustment for hypertension, BMI, and family history attenuates the hazard ratio (from 2.8 to 2.03).
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