Missing values were generally imputed into the most common category.
Yet, the multilevel methods required to achieve this are quite novel and multiple imputation is generally recommended for imputing sporadic missing values instead of systematically missing data.
Missing values were imputed by MI as it is generally preferred to impute values than to drop samples with missing values.
Currently, imputation accuracy is generally assessed by experiments on real or simulated data, in which known genotypes are masked, imputed, and compared to their true values.
Although data can be imputed legitimately in some disciplines, it is generally frowned upon in clinical research, and this explanation came across as hollow and suspicious, especially since Poehlman appeared to have no idea how imputation was done.
Exploratory data analysis indicates that the relationship between service volume and time is generally linear, so linear interpolation method was used to impute the missing values.
Imputing the mean of the completed items in a scale when 50% or more are completed is generally the most unbiased and precise method [ 38].
Rare (MAF < 0.01) variants are generally not well imputed by either low or high density arrays.
For those with TNM stage III IV, survival was generally lower when imputed data were included.
