They justify the choice of HBase based on their confidence in addressing missing features using their own engineering team and in the resiliency of the system against disk failures.
12 16 17 40 To address missing data on education, we conducted multiple imputation using five imputed data sets according to methods developed by Rubin.
Multiple imputation with 10 data sets was then used to address missing data on these items in a manner designed to avoid bias and produce correct confidence intervals [ 22].
Finally we present the estimates on the pooled sample using these methods to address missing distances.
In sensitivity analyses, linear regression analyses on change scores were conducted after multiple imputation was used to address missing data.
We developed a hierarchical imputation model to address missing data, differences in representativeness and comparability, and related effects on statistical uncertainty.
To demonstrate that there was minimal bias from using listwise deletion to handle the missing data several methods to address missing data were used and the results of the analyses based on each of the methods were compared.
We therefore used single imputation to address missing values.
Furthermore, we used multiple imputations to address missing data.
Multiple imputation was used to address missing viral lab results.
