Your English writing platform
Discover LudwigSuggestions(2)
Exact(60)
The model in (1) was fitted to the imputed data set directly in the imputation model.
The dependent variables were included as predictors in the imputation model but were not imputed.
Twenty imputed datasets will be used and included in the imputation procedure.
The data were imputed across the two waves, with a wave dummy included in the imputation model.
All variables used in the analyses were included in the imputation process.
Extensions to this simple approach would involve, for instance, considering the role of the outcome variable in the imputation process.
Using the WLEs in the imputation model may therefore underestimate the relation between θ and the background variables.
Bandwidths of 25 and 40 (the estimated optimal bandwidths) were used for selection of nearest neighbors in the imputation step.
Instead of the five plausible values for reading achievement we used the first plausible value in the imputation models.
Regression models were adjusted for all covariates used in the imputation of log MVL.
While not addressed here, there has also been tremendous progress in the imputation of missing data.
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