Your English writing platform
Discover LudwigSuggestions(1)
Exact(33)
Imputation of remaining missing values: remaining missing values were imputed using sequential K-nearest neighbor (SKNN) imputation (Kim et al., 2004 ) with k =5.
Remaining missing values were replaced by multiple imputations using the expected maximum function in PRELIS.
Remaining missing values after imputation (42.2%) represent truly absent peptides in the samples and were typically imputed by taking an estimate of the background noise.
Remaining missing values represent truly absent metabolites in the samples and are typically imputed by taking an estimate of the background noise (see also reference [ 52]).
Remaining missing values were imputed by the KNN impute algorithm with K = 10 using Euclidean distance [ 85], and technical replicates (i.e., spot repeats and dye swaps) were averaged.
After taking the mean values of the technical replicates for all remaining features, we then created separate files by tissue type and, within each file, eliminated any features with more than 10% missing samples, imputing the remaining missing values using the emArray method in the LSimpute package (Bo et al., 2004).
Similar(27)
To preserve the size of the analytic population, remaining missing covariate values (six instances for maternal depression and three for maternal PPVT) were imputed by simple random selection of a value from participants with nonmissing values.
In the remaining cases, missing values were imputed following the recommendations of Bickel et al. [ 9].
With respect to the remaining data missing values were imputed using multiple imputation.
For the remaining participants, missing values for posttraumatic stress symptoms were replaced using expectation maximization algorithms (EM algorithms) [ 51].
For the remaining items, missing values will be replaced by an imputation process based on an expectation maximisation algorithm using NORM software.
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