Your English writing platform
Discover LudwigSuggestions(5)
Exact(6)
For multivariate models, all variables associated with the endpoint (P<0.2) were entered, with age and gender forced into the model.
In multivariate models all variables were mutually adjusted for each other.
In multivariate models, all exposure variables were standardized by subtracting each observation from the variable mean and dividing the difference by the standard deviation.
In the multivariate models, all variables associated in bivariate analyses with the dependent variable at the P ≤ 0.10 level were included as independent variables, provided cell sizes were adequate.
Because women with and without placental malaria may have different risk factors for perinatal MTCT, we fit three separate multivariate models: all study women, women without placental malaria, and women with placental malaria.
No difference was noted for the characteristics of AS patients between the two participating centers (data not shown) For all multivariate models, all methods implemented to select variables to include in the final models (forward, backward, and both) proposed the same final models.
Similar(54)
In the multivariate model, all variables from the univariate analysis were included in the initial model.
In the resulting multivariate model, all remaining variables were considered significant if p≤0.05.
In our multivariate model, all variables have a different weight on the resultant PCS.
In the initial multivariate model, all main effects were investigated simultaneously.
In a multivariate model all patient and primary tumour characteristics were included.
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