Your English writing platform
Discover LudwigExact(16)
Alternative methods for handling missing data such as multiple imputations will be used for missing outcome data.
K-means is an unsupervised learning algorithm that can be used for missing value imputation [32].
Multiple Imputation will be used for missing data.
Last Observation Carried Forward (LOCF) will be used for missing data when appropriate.
The last and baseline observations carried forward will be used for missing data.
Imputation methods will not be used for missing data from absence of consent or dropout.
Similar(44)
In the first analysis, dummy variables were used for missing data, with creation of a categorical indicator for missing responses (missing category) (see online supplementary appendix table S1).
Indicator variables were used for missing values related to the intensity (20% missing values), duration (5% missing values), and age at start of smoking (3% missing values).
Listwise deletion was used for missing demographic data.
Multiple imputations were used for missing data and the analyses were adjusted for stratification variables (university hospital, shock and hematologic malignancy) and baseline SAPS II and use of plasma.
Multiple imputation was used for 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